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<div class="title">sparse_matrix_operations.hpp</div> </div>
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<a href="opencl_2sparse__matrix__operations_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_LINALG_OPENCL_SPARSE_MATRIX_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_OPENCL_SPARSE_MATRIX_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="device_8hpp.html">viennacl/ocl/device.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="ocl_2handle_8hpp.html">viennacl/ocl/handle.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="kernel_8hpp.html">viennacl/ocl/kernel.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="linalg_2host__based_2common_8hpp.html">viennacl/linalg/host_based/common.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2compressed__matrix_8hpp.html">viennacl/linalg/opencl/kernels/compressed_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2coordinate__matrix_8hpp.html">viennacl/linalg/opencl/kernels/coordinate_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2ell__matrix_8hpp.html">viennacl/linalg/opencl/kernels/ell_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2sliced__ell__matrix_8hpp.html">viennacl/linalg/opencl/kernels/sliced_ell_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2hyb__matrix_8hpp.html">viennacl/linalg/opencl/kernels/hyb_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp.html">viennacl/linalg/opencl/kernels/compressed_compressed_matrix.hpp</a>"</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2common_8hpp.html">viennacl/linalg/opencl/common.hpp</a>"</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="opencl_2vector__operations_8hpp.html">viennacl/linalg/opencl/vector_operations.hpp</a>"</span></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace </span>opencl</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment">//</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">// Compressed matrix</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">//</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> {</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4"> 56</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">row_info</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722ac">viennacl::linalg::detail::row_info_types</a> info_selector)</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & row_info_kernel = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"row_info_extractor"</span>);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(row_info_kernel(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  cl_uint(info_selector)</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  )</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  );</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac7e6aa25eddc64d4b3865ec3e34a1bf3"> 82</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> & A,</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha,</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & y,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta)</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">bool</span> use_nvidia_specific = AlignmentV == 1 && ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#ab4d9064422cc8c183a14ad77c2a7b49b">current_device</a>().<a class="code" href="classviennacl_1_1ocl_1_1device.html#a9668779c429b2ac8da61686b3823cc34">vendor_id</a>() == <a class="code" href="namespaceviennacl_1_1ocl.html#aa17c812dad306869678f302d9338d177a618ff278a50cf48f587831aa5aed0807">viennacl::ocl::nvidia_id</a> && (double(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>()) / <span class="keywordtype">double</span>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) > 12.0);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">bool</span> with_alpha_beta = (alpha < NumericT(1) || alpha > <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1)) || (beta < 0 || beta > 0);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::stringstream ss;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  ss << <span class="stringliteral">"vec_mul"</span>;</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> alignment = AlignmentV; <span class="comment">//prevent unreachable code warnings below</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">if</span> (use_nvidia_specific)</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  ss << <span class="stringliteral">"_nvidia"</span>;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span> (alignment == 4)</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  ss << <span class="stringliteral">"4"</span>;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (alignment == 8)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  ss << <span class="stringliteral">"8"</span>;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  ss << <span class="stringliteral">"_alpha_beta"</span>;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), ss.str());</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_x;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(x));</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(x));</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(x));</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(x));</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_y;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(y));</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(y));</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(y));</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(y));</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">if</span> (alignment == 4 || alignment == 8)</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  x, layout_x,</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  alpha,</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  y, layout_y,</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  beta</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  ));</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  x, layout_x,</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  y, layout_y</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  ));</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#ab4d9064422cc8c183a14ad77c2a7b49b">current_device</a>().<a class="code" href="classviennacl_1_1ocl_1_1device.html#ab2af60036bc98136d07090b9498e2b26">max_work_group_size</a>() >= 256)</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 256);</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">if</span> (use_nvidia_specific)</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 512 * k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0));</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">handle3</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">blocks1</a>()),</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  x, layout_x,</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  alpha,</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  y, layout_y,</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  beta</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  ));</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">handle3</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">blocks1</a>()),</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  x, layout_x,</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  y, layout_y</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ));</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">else</span> <span class="comment">// use CSR adaptive:</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">blocks1</a>() * k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0));</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">handle3</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">blocks1</a>()),</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  x, layout_x,</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  alpha,</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  y, layout_y,</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  beta</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  ));</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">handle3</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">blocks1</a>()),</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  x, layout_x,</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  y, layout_y</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  ));</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="keyword">template</span>< <span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a1b40072f44f7e9bd156d9560ca7ee30e"> 191</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> & sp_A,</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & d_A,</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y) {</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(sp_A).context());</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">false</span>, d_A.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(sp_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), sp_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), sp_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  viennacl::traits::opencl_handle(d_A),</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A)),</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A)),</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A)),</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A)),</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y)) ));</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00223"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#af50b89f6d9d21d281be8613a54f7d96e"> 223</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & sp_A,</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="structviennacl_1_1op__trans.html">viennacl::op_trans</a> > <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y) {</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(sp_A).context());</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">true</span>, d_A.lhs().row_major(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(sp_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), sp_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), sp_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  viennacl::traits::opencl_handle(d_A.lhs()),</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y)) ) );</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00257"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0a236936156b4950d9c3a00899d24db4"> 257</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & B,</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> & C)</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> {</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">/*</span></div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="comment"> * Stage 1: Analyze sparsity pattern in order to properly allocate temporary arrays</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"> * - Upper bound for the row lengths in C</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> upper_bound_nonzeros_per_row_A(256, ctx); <span class="comment">// upper bound for the nonzeros per row encountered for each work group</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k1 = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"spgemm_stage1"</span>);</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k1(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  viennacl::traits::opencl_handle(upper_bound_nonzeros_per_row_A)</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  ) );</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  upper_bound_nonzeros_per_row_A.<a class="code" href="classviennacl_1_1vector.html#a59f2ec43f298cc04d2f2bbbeee239bfe">switch_memory_context</a>(<a class="code" href="classviennacl_1_1context.html">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>));</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * upper_bound_nonzeros_per_row_A_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(upper_bound_nonzeros_per_row_A.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>());</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_nnz_per_row_A = 0;</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<upper_bound_nonzeros_per_row_A.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>(); ++i)</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  max_nnz_per_row_A = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a5d46fe9558b0e462f10fd44942ad4fc6">std::max</a>(max_nnz_per_row_A, upper_bound_nonzeros_per_row_A_ptr[i]);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">if</span> (max_nnz_per_row_A > 32)</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="comment">// determine augmented size:</span></div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_entries_in_G = 32;</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">if</span> (max_nnz_per_row_A <= 256)</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  max_entries_in_G = 16;</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">if</span> (max_nnz_per_row_A <= 64)</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  max_entries_in_G = 8;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> exclusive_scan_helper(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k_decompose_1 = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"spgemm_decompose_1"</span>);</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k_decompose_1(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  cl_uint(max_entries_in_G),</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  viennacl::traits::opencl_handle(exclusive_scan_helper)</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  ) );</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="comment">// exclusive scan of helper array to find new size:</span></div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(exclusive_scan_helper);</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> augmented_size = exclusive_scan_helper[A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()];</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="comment">// split A = A2 * G1</span></div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> A2(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), augmented_size, augmented_size, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> G1(augmented_size, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">// fill A2:</span></div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k_fill_A2 = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"spgemm_A2"</span>);</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k_fill_A2(A2.handle1().opencl_handle(), A2.handle2().opencl_handle(), A2.handle().opencl_handle(), cl_uint(A2.size1()),</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  viennacl::traits::opencl_handle(exclusive_scan_helper)</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  ) );</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">// fill G1:</span></div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k_fill_G1 = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"spgemm_G1"</span>);</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k_fill_G1(G1.handle1().opencl_handle(), G1.handle2().opencl_handle(), G1.handle().opencl_handle(), cl_uint(G1.size1()),</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>()),</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  cl_uint(max_entries_in_G),</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  viennacl::traits::opencl_handle(exclusive_scan_helper)</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  ) );</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// compute tmp = G1 * B;</span></div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// C = A2 * tmp;</span></div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT, AlignmentV></a> tmp(G1.size1(), B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>(), 0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(G1, B, tmp); <span class="comment">// this runs a standard RMerge without decomposition of G1</span></div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(A2, tmp, C); <span class="comment">// this may split A2 again</span></div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  }</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="comment">/*</span></div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="comment"> * Stage 2: Determine sparsity pattern of C</span></div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  C.<a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>(), <span class="keyword">false</span>);</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k2 = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"spgemm_stage2"</span>);</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  k2.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 32); <span class="comment">// run with one warp/wavefront</span></div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  k2.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 256*256*32); <span class="comment">// make sure enough warps/wavefronts are in flight</span></div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k2(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), cl_uint(B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()),</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  C.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle()</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  ) );</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="comment">// exclusive scan on host to obtain row start indices:</span></div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(C.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1);</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(C.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_buffer.get());</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> current_offset = 0;</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(); ++i)</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tmp = row_buffer[i];</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  row_buffer.set(i, current_offset);</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  current_offset += tmp;</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">set</a>(C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), current_offset);</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(C.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_buffer.get());</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">/*</span></div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span> <span class="comment"> * Stage 3: Compute entries in C</span></div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  C.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(current_offset, <span class="keyword">false</span>);</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k3 = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"spgemm_stage3"</span>);</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  k3.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 32); <span class="comment">// run with one warp/wavefront</span></div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  k3.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 256*256*32); <span class="comment">// make sure enough warps/wavefronts are in flight</span></div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k3(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(B.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>()),</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  C.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), C.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle()</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  ) );</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span> }</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="comment">// triangular solvers</span></div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> MAT_AlignmentV></div>
<div class="line"><a name="l00382"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a82d0e161d210b339dbda37d6ebc6318f"> 382</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, MAT_AlignmentV></a> <span class="keyword">const</span> & L,</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="structviennacl_1_1linalg_1_1unit__lower__tag.html">viennacl::linalg::unit_lower_tag</a>)</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> {</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(L).context());</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"unit_lu_forward"</span>);</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 128);</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>());</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  cl_uint(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  )</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  );</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> }</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a66050024d4fd7fe421fdec79b082268e"> 405</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & L,</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <a class="code" href="structviennacl_1_1linalg_1_1lower__tag.html">viennacl::linalg::lower_tag</a>)</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> {</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(L).context());</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"lu_forward"</span>);</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 128);</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>());</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  cl_uint(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  )</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  );</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00430"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#ae83a113e8217c08655530df7d0b846b1"> 430</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & U,</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="structviennacl_1_1linalg_1_1unit__upper__tag.html">viennacl::linalg::unit_upper_tag</a>)</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> {</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(U).context());</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"unit_lu_backward"</span>);</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 128);</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>());</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  cl_uint(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  )</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  );</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> }</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00453"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a3a97d7d39ed0063efc0e2a7184c63711"> 453</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & U,</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="structviennacl_1_1linalg_1_1upper__tag.html">viennacl::linalg::upper_tag</a>)</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span> {</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(U).context());</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"lu_backward"</span>);</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 128);</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>());</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  cl_uint(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  )</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  );</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span> }</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span> </div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="comment">// transposed triangular solvers</span></div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> {</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="comment">// block solves</span></div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00483"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a144fd7dc25be2029356c24f07f281edc"> 483</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a144fd7dc25be2029356c24f07f281edc">block_inplace_solve</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression</a><<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="structviennacl_1_1op__trans.html">op_trans</a>> & L,</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> <span class="keyword">const</span> & block_indices, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_blocks,</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & <span class="comment">/* L_diagonal */</span>, <span class="comment">//ignored</span></div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <a class="code" href="structviennacl_1_1linalg_1_1unit__lower__tag.html">viennacl::linalg::unit_lower_tag</a>)</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(L.lhs()).<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">context</a>());</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & block_solve_kernel = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"block_trans_unit_lu_forward"</span>);</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  block_solve_kernel.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, num_blocks * block_solve_kernel.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0));</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(block_solve_kernel(L.lhs().handle1().opencl_handle(),</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  L.lhs().handle2().opencl_handle(),</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  L.lhs().handle().opencl_handle(),</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  block_indices.opencl_handle(),</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  x,</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keyword">static_cast<</span>cl_uint<span class="keyword">></span>(x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>())));</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00506"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a720d4cb00c0c08602f62608ecaa9a835"> 506</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a144fd7dc25be2029356c24f07f281edc">block_inplace_solve</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression</a><<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <a class="code" href="structviennacl_1_1op__trans.html">op_trans</a>> <span class="keyword">const</span> & U,</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> <span class="keyword">const</span> & block_indices, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_blocks,</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & U_diagonal,</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="structviennacl_1_1linalg_1_1upper__tag.html">viennacl::linalg::upper_tag</a>)</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  {</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(U.lhs()).<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">context</a>());</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & block_solve_kernel = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"block_trans_lu_backward"</span>);</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  block_solve_kernel.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, num_blocks * block_solve_kernel.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0));</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(block_solve_kernel(U.lhs().handle1().opencl_handle(),</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  U.lhs().handle2().opencl_handle(),</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  U.lhs().handle().opencl_handle(),</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  U_diagonal,</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  block_indices.opencl_handle(),</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  x,</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keyword">static_cast<</span>cl_uint<span class="keyword">></span>(x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>())));</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  }</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span> </div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span> }</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span> </div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00538"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#ae0b9b74ba21c79a3d9421bc68c74712b"> 538</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="structviennacl_1_1op__trans.html">op_trans</a>> <span class="keyword">const</span> & proxy_L,</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="structviennacl_1_1linalg_1_1unit__lower__tag.html">viennacl::linalg::unit_lower_tag</a>)</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> {</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(proxy_L.lhs()).<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">context</a>());</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"trans_unit_lu_forward"</span>);</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 128);</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>());</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(proxy_L.lhs().handle1().opencl_handle(), proxy_L.lhs().handle2().opencl_handle(), proxy_L.lhs().handle().opencl_handle(),</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  cl_uint(proxy_L.lhs().size1())</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  )</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  );</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a7f4c33a310f17f3379aac2f88348f85b"> 564</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="structviennacl_1_1op__trans.html">op_trans</a>> <span class="keyword">const</span> & proxy_L,</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <a class="code" href="structviennacl_1_1linalg_1_1lower__tag.html">viennacl::linalg::lower_tag</a>)</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span> {</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(proxy_L.lhs()).<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">context</a>());</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> diagonal(x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">detail::row_info</a>(proxy_L.lhs(), diagonal, <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722aca0750e54730307e2c1d1b6bfaabc7a1dd">viennacl::linalg::detail::SPARSE_ROW_DIAGONAL</a>);</div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"trans_lu_forward"</span>);</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  k.local_work_size(0, 128);</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  k.global_work_size(0, k.local_work_size());</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(proxy_L.lhs().handle1().opencl_handle(), proxy_L.lhs().handle2().opencl_handle(), proxy_L.lhs().handle().opencl_handle(),</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  viennacl::traits::opencl_handle(diagonal),</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  cl_uint(proxy_L.lhs().size1())</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  )</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  );</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> }</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00594"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a58540b3dfdf2451f59a8d69b0d503977"> 594</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="structviennacl_1_1op__trans.html">op_trans</a>> <span class="keyword">const</span> & proxy_U,</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="structviennacl_1_1linalg_1_1unit__upper__tag.html">viennacl::linalg::unit_upper_tag</a>)</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span> {</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(proxy_U.lhs()).<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">context</a>());</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"trans_unit_lu_backward"</span>);</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span> </div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, 128);</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>());</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(proxy_U.lhs().handle1().opencl_handle(), proxy_U.lhs().handle2().opencl_handle(), proxy_U.lhs().handle().opencl_handle(),</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  cl_uint(proxy_U.lhs().size1())</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  )</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  );</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span> }</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span> </div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00620"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#adc9e31f7f23c948acc29e15970acd07f"> 620</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">inplace_solve</a>(<a class="code" href="classviennacl_1_1matrix__expression.html">matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a>,</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="structviennacl_1_1op__trans.html">op_trans</a>> <span class="keyword">const</span> & proxy_U,</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="structviennacl_1_1linalg_1_1upper__tag.html">viennacl::linalg::upper_tag</a>)</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span> {</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(proxy_U.lhs()).<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">context</a>());</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> diagonal(x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">detail::row_info</a>(proxy_U.lhs(), diagonal, <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722aca0750e54730307e2c1d1b6bfaabc7a1dd">viennacl::linalg::detail::SPARSE_ROW_DIAGONAL</a>);</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span> </div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve<NumericT>::program_name</a>(), <span class="stringliteral">"trans_lu_backward"</span>);</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span> </div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  k.local_work_size(0, 128);</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  k.global_work_size(0, k.local_work_size());</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(proxy_U.lhs().handle1().opencl_handle(), proxy_U.lhs().handle2().opencl_handle(), proxy_U.lhs().handle().opencl_handle(),</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  viennacl::traits::opencl_handle(diagonal),</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  cl_uint(proxy_U.lhs().size1())</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  )</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  );</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span> }</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span> </div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="comment">//</span></div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span> <span class="comment">// Compressed Compressed matrix</span></div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span> <span class="comment">//</span></div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00658"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#adf571bd1271948427a7ba2f4c6e427d9"> 658</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">viennacl::compressed_compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> <span class="keyword">const</span> & x,</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha,</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & y,</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta)</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span> {</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html#a1fe4c2ea3abffb44b0e3ebc5cc12489c">viennacl::linalg::opencl::kernels::compressed_compressed_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"vec_mul"</span>);</div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">if</span> (beta < 0 || beta > 0) <span class="comment">// multiply by beta</span></div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0501c423f35eb16759db2c3028ae4857">viennacl::linalg::opencl::av</a>(y, y, beta, 1, <span class="keyword">false</span>, <span class="keyword">false</span>);</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  y.<a class="code" href="classviennacl_1_1vector__base.html#abf5acd243b2b1571cc7a486e89485ca0">clear</a>();</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_x;</div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(x));</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(x));</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(x));</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(x));</div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_y;</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(y));</div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(y));</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(y));</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(y));</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">handle1</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41">handle3</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">handle2</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a23111df9ac4134639283ed5a554347f7">handle</a>().opencl_handle(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">nnz1</a>()),</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  x, layout_x,</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  alpha,</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  y, layout_y,</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  beta</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  ));</div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span> }</div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span> </div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span> <span class="comment">//</span></div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span> <span class="comment">// Coordinate matrix</span></div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span> <span class="comment">//</span></div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span> {</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00701"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a1fcccd84db8c1659e268e6d7719df94e"> 701</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">row_info</a>(<a class="code" href="classviennacl_1_1coordinate__matrix.html">coordinate_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & x,</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722ac">viennacl::linalg::detail::row_info_types</a> info_selector)</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  {</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html#a2ace7d1f366b0ad9c1c55371358fda76">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & row_info_kernel = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"row_info_extractor"</span>);</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> thread_num = 128; <span class="comment">//k.local_work_size(0);</span></div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span> </div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  row_info_kernel.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, thread_num);</div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span> </div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  row_info_kernel.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 64 * thread_num); <span class="comment">//64 work groups are hard-coded for now. Gives reasonable performance in most cases</span></div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(row_info_kernel(A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a875b6ccacbf0df8ef48ab7f7c46244f1">handle12</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#aeb74dd2ab673d7912a17f60777e9bf6c">handle</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a66b7f5c5487b719c91bc76984f89f97f">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  cl_uint(info_selector),</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(cl_uint)*thread_num),</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*thread_num)) );</div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  }</div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span> }</div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span> </div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00730"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a9cfc405fc242dbf556f8b088bf521545"> 730</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1coordinate__matrix.html">viennacl::coordinate_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> <span class="keyword">const</span> & x,</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha,</div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & y,</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta)</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span> {</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html#a2ace7d1f366b0ad9c1c55371358fda76">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span> </div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keywordflow">if</span> (beta < 0 || beta > 0) <span class="comment">// multiply by beta</span></div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0501c423f35eb16759db2c3028ae4857">viennacl::linalg::opencl::av</a>(y, y, beta, 1, <span class="keyword">false</span>, <span class="keyword">false</span>);</div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  y.<a class="code" href="classviennacl_1_1vector__base.html#abf5acd243b2b1571cc7a486e89485ca0">clear</a>();</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span> </div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_x;</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(x));</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(x));</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(x));</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(x));</div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span> </div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_y;</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(y));</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(y));</div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(y));</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(y));</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="comment">//std::cout << "prod(coordinate_matrix" << AlignmentV << ", vector) called with internal_nnz=" << A.internal_nnz() << std::endl;</span></div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"vec_mul"</span>);</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> thread_num = 128; <span class="comment">//k.local_work_size(0);</span></div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span> </div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, thread_num);</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span> </div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 64 * thread_num); <span class="comment">//64 work groups are hard-coded for now. Gives reasonable performance in most cases</span></div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="comment">//k.global_work_size(0, thread_num); //Only one work group</span></div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a875b6ccacbf0df8ef48ab7f7c46244f1">handle12</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#aeb74dd2ab673d7912a17f60777e9bf6c">handle</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a66b7f5c5487b719c91bc76984f89f97f">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  layout_x,</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  alpha,</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  layout_y,</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  beta,</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(cl_uint)*thread_num),</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*thread_num)) );</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span> </div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span> }</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span> </div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span> </div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00787"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a83199d78f9adbf3b16034fc8a093ed38"> 787</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1coordinate__matrix.html">viennacl::coordinate_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y)</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span> {</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html#a2ace7d1f366b0ad9c1c55371358fda76">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span> </div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">false</span>, d_A.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span> </div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  y.<a class="code" href="classviennacl_1_1matrix__base.html#a4d68a8dc9bdca6b231f5eaffab98b3ec">clear</a>();</div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span> </div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> thread_num = 128; <span class="comment">//k.local_work_size(0);</span></div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, thread_num);</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 64 * thread_num); <span class="comment">//64 work groups are hard-coded for now. Gives reasonable performance in most cases</span></div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a875b6ccacbf0df8ef48ab7f7c46244f1">handle12</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#aeb74dd2ab673d7912a17f60777e9bf6c">handle</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a66b7f5c5487b719c91bc76984f89f97f">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  viennacl::traits::opencl_handle(d_A),</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A)),</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A)),</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A)),</div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A)),</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y)),</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(cl_uint)*k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0)),</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0))) );</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span> </div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span> }</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00828"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a72fb925402b34c304e02fb4feafb8bc9"> 828</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1coordinate__matrix.html">viennacl::coordinate_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <a class="code" href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <a class="code" href="structviennacl_1_1op__trans.html">viennacl::op_trans</a> > <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y)</div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span> {</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html#a2ace7d1f366b0ad9c1c55371358fda76">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span> </div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html">viennacl::linalg::opencl::kernels::coordinate_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">true</span>, d_A.lhs().row_major(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span> </div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  y.<a class="code" href="classviennacl_1_1matrix__base.html#a4d68a8dc9bdca6b231f5eaffab98b3ec">clear</a>();</div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> thread_num = 128; <span class="comment">//k.local_work_size(0);</span></div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, thread_num);</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, 64 * thread_num); <span class="comment">//64 work groups are hard-coded for now. Gives reasonable performance in most cases</span></div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span> </div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a875b6ccacbf0df8ef48ab7f7c46244f1">handle12</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#aeb74dd2ab673d7912a17f60777e9bf6c">handle</a>().opencl_handle(), A.<a class="code" href="classviennacl_1_1coordinate__matrix.html#a66b7f5c5487b719c91bc76984f89f97f">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  viennacl::traits::opencl_handle(d_A),</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y)),</div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(cl_uint)*k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0)),</div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>(<span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0))) );</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span> </div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span> }</div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span> </div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span> </div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span> <span class="comment">//</span></div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span> <span class="comment">// ELL Matrix</span></div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span> <span class="comment">//</span></div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span> </div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00868"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#acb0249b0f5459adcc9b490796268920e"> 868</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1ell__matrix.html">viennacl::ell_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> <span class="keyword">const</span> & x,</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha,</div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & y,</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta)</div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span> {</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  assert(A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7a37f6e784757bd80c71f800efcefc3f">size1</a>() == y.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  assert(A.<a class="code" href="classviennacl_1_1ell__matrix.html#aebd34a16c075d010736102865b0c9e29">size2</a>() == x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span> </div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html#afc7ee4c881f6aaaedbbc3d9dcd46d99b">viennacl::linalg::opencl::kernels::ell_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span> </div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keywordtype">bool</span> with_alpha_beta = (alpha < NumericT(1) || alpha > <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1)) || (beta < 0 || beta > 0);</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span> </div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_x;</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(x));</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(x));</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(x));</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(x));</div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_y;</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(y));</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(y));</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(y));</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(y));</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  std::stringstream ss;</div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  ss << <span class="stringliteral">"vec_mul_"</span> << 1;<span class="comment">//(AlignmentV != 1?4:1);</span></div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html">viennacl::linalg::opencl::kernels::ell_matrix<NumericT>::program_name</a>(), with_alpha_beta ? <span class="stringliteral">"vec_mul_alpha_beta"</span> : <span class="stringliteral">"vec_mul"</span>);</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span> </div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> thread_num = 128;</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> group_num = 256;</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, thread_num);</div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, thread_num * group_num);</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span> </div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1ell__matrix.html#a1260f11302263435b8f6de4a4c0ef4b6">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7fe5450dbe53bb797938aa920d4bbb68">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  layout_x,</div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  alpha,</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  layout_y,</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  beta,</div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7a37f6e784757bd80c71f800efcefc3f">size1</a>()),</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#aebd34a16c075d010736102865b0c9e29">size2</a>()),</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#af2e571bfc69f9f0acf3e9b19ce2b9b9f">internal_size1</a>()),</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#af52325d0e501652d68ca5be85d3ea98c">maxnnz</a>()),</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#ae3280590756e720a8d8dacdeed4b702a">internal_maxnnz</a>())</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  )</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  );</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1ell__matrix.html#a1260f11302263435b8f6de4a4c0ef4b6">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7fe5450dbe53bb797938aa920d4bbb68">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  layout_x,</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  layout_y,</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7a37f6e784757bd80c71f800efcefc3f">size1</a>()),</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#aebd34a16c075d010736102865b0c9e29">size2</a>()),</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#af2e571bfc69f9f0acf3e9b19ce2b9b9f">internal_size1</a>()),</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#af52325d0e501652d68ca5be85d3ea98c">maxnnz</a>()),</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  cl_uint(A.<a class="code" href="classviennacl_1_1ell__matrix.html#ae3280590756e720a8d8dacdeed4b702a">internal_maxnnz</a>())</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  )</div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  );</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span> </div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span> </div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span> }</div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00948"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0a16aa6006192d8f3f127b48bfcf9ca5"> 948</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1ell__matrix.html">viennacl::ell_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & sp_A,</div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y) {</div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span> </div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(sp_A).context());</div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html#afc7ee4c881f6aaaedbbc3d9dcd46d99b">viennacl::linalg::opencl::kernels::ell_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html">viennacl::linalg::opencl::kernels::ell_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">false</span>, d_A.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span> </div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="comment">//unsigned int thread_num = 128;</span></div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <span class="comment">//unsigned int group_num = 256;</span></div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="comment">//k.local_work_size(0, thread_num);</span></div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <span class="comment">//k.global_work_size(0, thread_num * group_num);</span></div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span> </div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#a1260f11302263435b8f6de4a4c0ef4b6">handle2</a>().opencl_handle(), sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7fe5450dbe53bb797938aa920d4bbb68">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7a37f6e784757bd80c71f800efcefc3f">size1</a>()),</div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#aebd34a16c075d010736102865b0c9e29">size2</a>()),</div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#af2e571bfc69f9f0acf3e9b19ce2b9b9f">internal_size1</a>()),</div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#af52325d0e501652d68ca5be85d3ea98c">maxnnz</a>()),</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#ae3280590756e720a8d8dacdeed4b702a">internal_maxnnz</a>()),</div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  viennacl::traits::opencl_handle(d_A),</div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A)),</div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A)),</div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A)),</div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A)),</div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y))</div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  )</div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  );</div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span> }</div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span> </div>
<div class="line"><a name="l00992"></a><span class="lineno"> 992</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00993"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#ae166d736e11c7a6d102115fcb0dddf03"> 993</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1ell__matrix.html">viennacl::ell_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & sp_A,</div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <a class="code" href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <a class="code" href="structviennacl_1_1op__trans.html">viennacl::op_trans</a> > <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y) {</div>
<div class="line"><a name="l00998"></a><span class="lineno"> 998</span> </div>
<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(sp_A).context());</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html#afc7ee4c881f6aaaedbbc3d9dcd46d99b">viennacl::linalg::opencl::kernels::ell_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html">viennacl::linalg::opencl::kernels::ell_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">true</span>, d_A.lhs().row_major(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> </div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="comment">//unsigned int thread_num = 128;</span></div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="comment">//unsigned int group_num = 256;</span></div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="comment">//</span></div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <span class="comment">//k.local_work_size(0, thread_num);</span></div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="comment">//k.global_work_size(0, thread_num * group_num);</span></div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span> </div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#a1260f11302263435b8f6de4a4c0ef4b6">handle2</a>().opencl_handle(), sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7fe5450dbe53bb797938aa920d4bbb68">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#a7a37f6e784757bd80c71f800efcefc3f">size1</a>()),</div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#aebd34a16c075d010736102865b0c9e29">size2</a>()),</div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#af2e571bfc69f9f0acf3e9b19ce2b9b9f">internal_size1</a>()),</div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#af52325d0e501652d68ca5be85d3ea98c">maxnnz</a>()),</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  cl_uint(sp_A.<a class="code" href="classviennacl_1_1ell__matrix.html#ae3280590756e720a8d8dacdeed4b702a">internal_maxnnz</a>()),</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  viennacl::traits::opencl_handle(d_A.lhs()),</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y))</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  )</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  );</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span> }</div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span> </div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span> <span class="comment">//</span></div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span> <span class="comment">// SELL-C-\sigma Matrix</span></div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span> <span class="comment">//</span></div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> </div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span> <span class="keyword">template</span><<span class="keyword">typename</span> ScalarT, <span class="keyword">typename</span> IndexT></div>
<div class="line"><a name="l01035"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a57184647b968d0eb667cf38f20f08792"> 1035</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1sliced__ell__matrix.html">viennacl::sliced_ell_matrix<ScalarT, IndexT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarT></a> <span class="keyword">const</span> & x,</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  ScalarT alpha,</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<ScalarT></a> & y,</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  ScalarT beta)</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> {</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  assert(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#a16cd8194ca5b263de32f131362498d77">size1</a>() == y.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  assert(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#ae0afefc19f6dc7692a87cd8a16b51d30">size2</a>() == x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> </div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix.html">viennacl::linalg::opencl::kernels::sliced_ell_matrix<ScalarT, unsigned int>::init</a>(ctx);</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> </div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keywordtype">bool</span> with_alpha_beta = (alpha < ScalarT(1) || alpha > ScalarT(1)) || (beta < 0 || beta > 0);</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span> </div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_x;</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(x));</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(x));</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(x));</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(x));</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span> </div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_y;</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(y));</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(y));</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(y));</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(y));</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span> </div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  std::stringstream ss;</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  ss << <span class="stringliteral">"vec_mul_"</span> << 1;<span class="comment">//(AlignmentV != 1?4:1);</span></div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix.html">viennacl::linalg::opencl::kernels::sliced_ell_matrix<ScalarT, IndexT>::program_name</a>(), with_alpha_beta ? <span class="stringliteral">"vec_mul_alpha_beta"</span> : <span class="stringliteral">"vec_mul"</span>);</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> </div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> thread_num = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a5d46fe9558b0e462f10fd44942ad4fc6">std::max</a>(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#aa9a7f4003687cae9a2af97f9fa328db5">rows_per_block</a>(), <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(128));</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> group_num = 256;</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span> </div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  <span class="keywordflow">if</span> (ctx.current_device().vendor_id() == <a class="code" href="namespaceviennacl_1_1ocl.html#aa17c812dad306869678f302d9338d177a618ff278a50cf48f587831aa5aed0807">viennacl::ocl::nvidia_id</a>)</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  thread_num = 256;</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> </div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">local_work_size</a>(0, thread_num);</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  k.<a class="code" href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">global_work_size</a>(0, thread_num * group_num);</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> </div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#a94043424c01974b2db8062f74f625825">handle1</a>().opencl_handle(),</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#a31d5fa9ec25dcfeb260f7e11c4db6571">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#aa59ae796d592a679a4c6036ba84f61b0">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#abbc671358c44037b7c2b22a01f17c3a7">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  layout_x,</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  alpha,</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  layout_y,</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  beta,</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  cl_uint(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#aa9a7f4003687cae9a2af97f9fa328db5">rows_per_block</a>()))</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  );</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#a94043424c01974b2db8062f74f625825">handle1</a>().opencl_handle(),</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#a31d5fa9ec25dcfeb260f7e11c4db6571">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#aa59ae796d592a679a4c6036ba84f61b0">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#abbc671358c44037b7c2b22a01f17c3a7">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  layout_x,</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  layout_y,</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  cl_uint(A.<a class="code" href="classviennacl_1_1sliced__ell__matrix.html#aa9a7f4003687cae9a2af97f9fa328db5">rows_per_block</a>()))</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  );</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span> }</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span> </div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> </div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> <span class="comment">//</span></div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span> <span class="comment">// Hybrid Matrix</span></div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> <span class="comment">//</span></div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> </div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l01106"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#acc191bc722412368d3e8d6281990f660"> 1106</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1hyb__matrix.html">viennacl::hyb_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> <span class="keyword">const</span> & x,</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha,</div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & y,</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta)</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span> {</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  assert(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ab5f077832dd0efade9f5037327a1786d">size1</a>() == y.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  assert(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a321b40813370fc067e3b49afed3da469">size2</a>() == x.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span> </div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html#afd8edb6f7bcc5c227671c3f5c819151b">viennacl::linalg::opencl::kernels::hyb_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> </div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keywordtype">bool</span> with_alpha_beta = (alpha < NumericT(1) || alpha > <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1)) || (beta < 0 || beta > 0);</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span> </div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_x;</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(x));</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(x));</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(x));</div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  layout_x.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(x));</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span> </div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a> layout_y;</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">start</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a>(y));</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">stride</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a>(y));</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a>(y));</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  layout_y.<a class="code" href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">internal_size</a> = cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a>(y));</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span> </div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html">viennacl::linalg::opencl::kernels::hyb_matrix<NumericT>::program_name</a>(), with_alpha_beta ? <span class="stringliteral">"vec_mul_alpha_beta"</span> : <span class="stringliteral">"vec_mul"</span>);</div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> </div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  <span class="keywordflow">if</span> (with_alpha_beta)</div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a83cb07a6aa15fcf960b40b4a82fdc574">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a4b3f5963def504d05e7ab97b972067f0">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a85c8cfa2f303c11c2e8ebea46e4ea400">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#acd8b0197ad9c5a92ed26cf6ec3ce6137">handle4</a>().opencl_handle(),</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#aed5ff60ddfef1cd59108064a5d4cdd7f">handle5</a>().opencl_handle(),</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  layout_x,</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  alpha,</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  layout_y,</div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  beta,</div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ab5f077832dd0efade9f5037327a1786d">size1</a>()),</div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a71a65b6963fe30384f160f4cf6c189c8">internal_size1</a>()),</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ad283de5ab491d075b34788c3293890ce">ell_nnz</a>()),</div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ac80cf4d3ab3ab38f398405ecf88419cd">internal_ellnnz</a>())</div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  )</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  );</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a83cb07a6aa15fcf960b40b4a82fdc574">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a4b3f5963def504d05e7ab97b972067f0">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a85c8cfa2f303c11c2e8ebea46e4ea400">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#acd8b0197ad9c5a92ed26cf6ec3ce6137">handle4</a>().opencl_handle(),</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#aed5ff60ddfef1cd59108064a5d4cdd7f">handle5</a>().opencl_handle(),</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  layout_x,</div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  layout_y,</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ab5f077832dd0efade9f5037327a1786d">size1</a>()),</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a71a65b6963fe30384f160f4cf6c189c8">internal_size1</a>()),</div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ad283de5ab491d075b34788c3293890ce">ell_nnz</a>()),</div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ac80cf4d3ab3ab38f398405ecf88419cd">internal_ellnnz</a>())</div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  )</div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  );</div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span> }</div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> </div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l01171"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a20c8cd535c54bba79b1912abce227d04"> 1171</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1hyb__matrix.html">viennacl::hyb_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y)</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span> {</div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html#afd8edb6f7bcc5c227671c3f5c819151b">viennacl::linalg::opencl::kernels::hyb_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html">viennacl::linalg::opencl::kernels::hyb_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">false</span>, d_A.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span> </div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a83cb07a6aa15fcf960b40b4a82fdc574">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a4b3f5963def504d05e7ab97b972067f0">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a85c8cfa2f303c11c2e8ebea46e4ea400">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#acd8b0197ad9c5a92ed26cf6ec3ce6137">handle4</a>().opencl_handle(),</div>
<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#aed5ff60ddfef1cd59108064a5d4cdd7f">handle5</a>().opencl_handle(),</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ab5f077832dd0efade9f5037327a1786d">size1</a>()),</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a71a65b6963fe30384f160f4cf6c189c8">internal_size1</a>()),</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ad283de5ab491d075b34788c3293890ce">ell_nnz</a>()),</div>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ac80cf4d3ab3ab38f398405ecf88419cd">internal_ellnnz</a>()),</div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  viennacl::traits::opencl_handle(d_A),</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A)),</div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A)),</div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A)),</div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A)),</div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y))</div>
<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  )</div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  );</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span> }</div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span> </div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l01204"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#adda9f05f3e9ac885e8603f5eed57db1b"> 1204</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">prod_impl</a>(<a class="code" href="classviennacl_1_1hyb__matrix.html">viennacl::hyb_matrix<NumericT, AlignmentV></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  <a class="code" href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a>< <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a>,</div>
<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  <a class="code" href="structviennacl_1_1op__trans.html">viennacl::op_trans</a> > <span class="keyword">const</span> & d_A,</div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & y)</div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span> {</div>
<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(A).context());</div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html#afd8edb6f7bcc5c227671c3f5c819151b">viennacl::linalg::opencl::kernels::hyb_matrix<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html">viennacl::linalg::opencl::kernels::hyb_matrix<NumericT>::program_name</a>(),</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">detail::sparse_dense_matmult_kernel_name</a>(<span class="keyword">true</span>, d_A.lhs().row_major(), y.<a class="code" href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">row_major</a>()));</div>
<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span> </div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a83cb07a6aa15fcf960b40b4a82fdc574">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a4b3f5963def504d05e7ab97b972067f0">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a85c8cfa2f303c11c2e8ebea46e4ea400">handle3</a>().opencl_handle(),</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#acd8b0197ad9c5a92ed26cf6ec3ce6137">handle4</a>().opencl_handle(),</div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  A.<a class="code" href="classviennacl_1_1hyb__matrix.html#aed5ff60ddfef1cd59108064a5d4cdd7f">handle5</a>().opencl_handle(),</div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ab5f077832dd0efade9f5037327a1786d">size1</a>()),</div>
<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#a71a65b6963fe30384f160f4cf6c189c8">internal_size1</a>()),</div>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ad283de5ab491d075b34788c3293890ce">ell_nnz</a>()),</div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  cl_uint(A.<a class="code" href="classviennacl_1_1hyb__matrix.html#ac80cf4d3ab3ab38f398405ecf88419cd">internal_ellnnz</a>()),</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  viennacl::traits::opencl_handle(d_A.lhs()),</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(d_A.lhs())), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(d_A.lhs())),</div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  viennacl::traits::opencl_handle(y),</div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(y)),</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(y)),</div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(y)),</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(y)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(y))</div>
<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  )</div>
<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  );</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span> }</div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span> </div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span> </div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span> } <span class="comment">// namespace opencl</span></div>
<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span> </div>
<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span> </div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a4fc12fc4abfef4a1426575a2d73f18ab"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">viennacl::compressed_matrix::size2</a></div><div class="ttdeci">const vcl_size_t & size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00929">compressed_matrix.hpp:929</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_ac80cf4d3ab3ab38f398405ecf88419cd"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#ac80cf4d3ab3ab38f398405ecf88419cd">viennacl::hyb_matrix::internal_ellnnz</a></div><div class="ttdeci">vcl_size_t internal_ellnnz() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00101">hyb_matrix.hpp:101</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html">viennacl::hyb_matrix</a></div><div class="ttdoc">Sparse matrix class using a hybrid format composed of the ELL and CSR format for storing the nonzeros...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00406">forwards.h:406</a></div></div>
<div class="ttc" id="structviennacl_1_1ocl_1_1packed__cl__uint_html_a457e1f554ae439501613c843b6dad189"><div class="ttname"><a href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a457e1f554ae439501613c843b6dad189">viennacl::ocl::packed_cl_uint::stride</a></div><div class="ttdeci">cl_uint stride</div><div class="ttdoc">Increment between integers. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00050">kernel.hpp:50</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix_html_a2ace7d1f366b0ad9c1c55371358fda76"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html#a2ace7d1f366b0ad9c1c55371358fda76">viennacl::linalg::opencl::kernels::coordinate_matrix::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2coordinate__matrix_8hpp_source.html#l00373">coordinate_matrix.hpp:373</a></div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_a31d5fa9ec25dcfeb260f7e11c4db6571"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#a31d5fa9ec25dcfeb260f7e11c4db6571">viennacl::sliced_ell_matrix::handle2</a></div><div class="ttdeci">handle_type & handle2()</div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00112">sliced_ell_matrix.hpp:112</a></div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_a7a37f6e784757bd80c71f800efcefc3f"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#a7a37f6e784757bd80c71f800efcefc3f">viennacl::ell_matrix::size1</a></div><div class="ttdeci">vcl_size_t size1() const </div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00091">ell_matrix.hpp:91</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1context_html_ab4d9064422cc8c183a14ad77c2a7b49b"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html#ab4d9064422cc8c183a14ad77c2a7b49b">viennacl::ocl::context::current_device</a></div><div class="ttdeci">viennacl::ocl::device const & current_device() const </div><div class="ttdoc">Returns the current device. </div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00112">context.hpp:112</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array</a></div><div class="ttdoc">Helper class implementing an array on the host. Default case: No conversion necessary. </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00092">util.hpp:92</a></div></div>
<div class="ttc" id="structviennacl_1_1ocl_1_1packed__cl__uint_html"><div class="ttname"><a href="structviennacl_1_1ocl_1_1packed__cl__uint.html">viennacl::ocl::packed_cl_uint</a></div><div class="ttdoc">Helper class for packing four cl_uint numbers into a uint4 type for access inside an OpenCL kernel...</div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00045">kernel.hpp:45</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a06bdedb2bc72dc1922cada91e9bbbd61"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a></div><div class="ttdeci">void memory_write(mem_handle &dst_buffer, vcl_size_t dst_offset, vcl_size_t bytes_to_write, const void *ptr, bool async=false)</div><div class="ttdoc">Writes data from main RAM identified by 'ptr' to the buffer identified by 'dst_buffer'. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00220">memory.hpp:220</a></div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_a1260f11302263435b8f6de4a4c0ef4b6"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#a1260f11302263435b8f6de4a4c0ef4b6">viennacl::ell_matrix::handle2</a></div><div class="ttdeci">handle_type & handle2()</div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00103">ell_matrix.hpp:103</a></div></div>
<div class="ttc" id="device_8hpp_html"><div class="ttname"><a href="device_8hpp.html">device.hpp</a></div><div class="ttdoc">Represents an OpenCL device within ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a53a39f11907d9098e6f144c87998fe5e"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a></div><div class="ttdeci">result_of::size_type< matrix_base< NumericT > >::type stride1(matrix_base< NumericT > const &s)</div><div class="ttdef"><b>Definition:</b> <a href="stride_8hpp_source.html#l00055">stride.hpp:55</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_adc2e9ed3e4d9fb0258840837aaa722ac"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722ac">viennacl::linalg::detail::row_info_types</a></div><div class="ttdeci">row_info_types</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00837">forwards.h:837</a></div></div>
<div class="ttc" id="opencl_2vector__operations_8hpp_html"><div class="ttname"><a href="opencl_2vector__operations_8hpp.html">vector_operations.hpp</a></div><div class="ttdoc">Implementations of NMF operations using OpenCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a18a93d38ca1eff472149093974edb5cb"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a18a93d38ca1eff472149093974edb5cb">viennacl::linalg::opencl::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, bool trans_A, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2matrix__operations_8hpp_source.html#l00620">matrix_operations.hpp:620</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_a85c8cfa2f303c11c2e8ebea46e4ea400"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#a85c8cfa2f303c11c2e8ebea46e4ea400">viennacl::hyb_matrix::handle3</a></div><div class="ttdeci">const handle_type & handle3() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00107">hyb_matrix.hpp:107</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a463cf1739f9cdd387aa185cb574db183"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">viennacl::compressed_matrix::size1</a></div><div class="ttdeci">const vcl_size_t & size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00927">compressed_matrix.hpp:927</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a32ae0103d43a2bff758311ee6e1e6398"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">viennacl::compressed_compressed_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00471">compressed_compressed_matrix.hpp:471</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1kernel_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a></div><div class="ttdoc">Represents an OpenCL kernel within ViennaCL. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00058">kernel.hpp:58</a></div></div>
<div class="ttc" id="structviennacl_1_1ocl_1_1packed__cl__uint_html_a7991987e7676fabb8d1cbc54eaa0ba01"><div class="ttname"><a href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a7991987e7676fabb8d1cbc54eaa0ba01">viennacl::ocl::packed_cl_uint::start</a></div><div class="ttdeci">cl_uint start</div><div class="ttdoc">Starting value of the integer stride. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00048">kernel.hpp:48</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a8c7f79de732939935e0b0800fb5d3ff1"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">viennacl::compressed_compressed_matrix::handle1</a></div><div class="ttdeci">const handle_type & handle1() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00469">compressed_compressed_matrix.hpp:469</a></div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_a4b3f5963def504d05e7ab97b972067f0"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#a4b3f5963def504d05e7ab97b972067f0">viennacl::hyb_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00105">hyb_matrix.hpp:105</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aedc426f055f1b4c5d00111cc8a46e50d"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a></div><div class="ttdeci">vcl_size_t internal_size1(matrix_base< NumericT > const &mat)</div><div class="ttdoc">Helper routine for obtaining the internal number of entries per row of a ViennaCL matrix...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00386">size.hpp:386</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1kernel_html_ae2b841c487f9ddbfcfb6297d648e2d7f"><div class="ttname"><a href="classviennacl_1_1ocl_1_1kernel.html#ae2b841c487f9ddbfcfb6297d648e2d7f">viennacl::ocl::kernel::local_work_size</a></div><div class="ttdeci">size_type local_work_size(int index=0) const </div><div class="ttdoc">Returns the local work size at the respective dimension. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00742">kernel.hpp:742</a></div></div>
<div class="ttc" id="classviennacl_1_1coordinate__matrix_html_a875b6ccacbf0df8ef48ab7f7c46244f1"><div class="ttname"><a href="classviennacl_1_1coordinate__matrix.html#a875b6ccacbf0df8ef48ab7f7c46244f1">viennacl::coordinate_matrix::handle12</a></div><div class="ttdeci">const handle_type & handle12() const </div><div class="ttdoc">Returns the OpenCL handle to the (row, column) index array. </div><div class="ttdef"><b>Definition:</b> <a href="coordinate__matrix_8hpp_source.html#l00366">coordinate_matrix.hpp:366</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa756f5d6820722094cae0d8b9bb6d5e2"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a></div><div class="ttdeci">vcl_size_t size1(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of rows of a matrix (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00163">size.hpp:163</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1detail_html_a7acbdad2a5672bc7129b8a7662a282bb"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a7acbdad2a5672bc7129b8a7662a282bb">viennacl::linalg::opencl::detail::sparse_dense_matmult_kernel_name</a></div><div class="ttdeci">std::string sparse_dense_matmult_kernel_name(bool B_transposed, bool B_row_major, bool C_row_major)</div><div class="ttdoc">Returns the OpenCL kernel string for the operation C = A * B with A sparse, B, C dense matrices...</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2common_8hpp_source.html#l00049">common.hpp:49</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1ocl_html_aa17c812dad306869678f302d9338d177a618ff278a50cf48f587831aa5aed0807"><div class="ttname"><a href="namespaceviennacl_1_1ocl.html#aa17c812dad306869678f302d9338d177a618ff278a50cf48f587831aa5aed0807">viennacl::ocl::nvidia_id</a></div><div class="ttdef"><b>Definition:</b> <a href="device__utils_8hpp_source.html#l00049">device_utils.hpp:49</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1lower__tag_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1lower__tag.html">viennacl::linalg::lower_tag</a></div><div class="ttdoc">A tag class representing a lower triangular matrix. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00849">forwards.h:849</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a></div><div class="ttdoc">Manages an OpenCL context and provides the respective convenience functions for creating buffers...</div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00055">context.hpp:55</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html">viennacl::linalg::opencl::kernels::coordinate_matrix</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for coordinate_matrix. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2coordinate__matrix_8hpp_source.html#l00366">coordinate_matrix.hpp:366</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_a71a65b6963fe30384f160f4cf6c189c8"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#a71a65b6963fe30384f160f4cf6c189c8">viennacl::hyb_matrix::internal_size1</a></div><div class="ttdeci">vcl_size_t internal_size1() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00095">hyb_matrix.hpp:95</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a2cd7269b5d00b5ebadab1c4b5a94a7c1"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a></div><div class="ttdeci">vcl_size_t internal_size2(matrix_base< NumericT > const &mat)</div><div class="ttdoc">Helper routine for obtaining the internal number of entries per column of a ViennaCL matrix...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00394">size.hpp:394</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html"><div class="ttname"><a href="classviennacl_1_1matrix__base.html">viennacl::matrix_base< NumericT ></a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__expression_html"><div class="ttname"><a href="classviennacl_1_1matrix__expression.html">viennacl::matrix_expression</a></div><div class="ttdoc">Expression template class for representing a tree of expressions which ultimately result in a matrix...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00341">forwards.h:341</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a09997870f4802fa5d4ac2c43cf4020d1"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a></div><div class="ttdeci">result_of::size_type< viennacl::vector_base< T > >::type stride(viennacl::vector_base< T > const &s)</div><div class="ttdef"><b>Definition:</b> <a href="stride_8hpp_source.html#l00045">stride.hpp:45</a></div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_aebd34a16c075d010736102865b0c9e29"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#aebd34a16c075d010736102865b0c9e29">viennacl::ell_matrix::size2</a></div><div class="ttdeci">vcl_size_t size2() const </div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00092">ell_matrix.hpp:92</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ae601425decc5f1a8763ab5272e9e492f"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a></div><div class="ttdeci">result_of::size_type< T >::type start1(T const &obj)</div><div class="ttdef"><b>Definition:</b> <a href="start_8hpp_source.html#l00065">start.hpp:65</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a62854cfd6f04404b274f8ede36f63e2d"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a></div><div class="ttdeci">void memory_read(mem_handle const &src_buffer, vcl_size_t src_offset, vcl_size_t bytes_to_read, void *ptr, bool async=false)</div><div class="ttdoc">Reads data from a buffer back to main RAM. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00261">memory.hpp:261</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_acd8b0197ad9c5a92ed26cf6ec3ce6137"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#acd8b0197ad9c5a92ed26cf6ec3ce6137">viennacl::hyb_matrix::handle4</a></div><div class="ttdeci">const handle_type & handle4() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00108">hyb_matrix.hpp:108</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1device_html_a9668779c429b2ac8da61686b3823cc34"><div class="ttname"><a href="classviennacl_1_1ocl_1_1device.html#a9668779c429b2ac8da61686b3823cc34">viennacl::ocl::device::vendor_id</a></div><div class="ttdeci">cl_uint vendor_id() const </div><div class="ttdoc">A unique device vendor identifier. An example of a unique device identifier could be the PCIe ID...</div><div class="ttdef"><b>Definition:</b> <a href="device_8hpp_source.html#l00917">device.hpp:917</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a0cd530f8a76a5fb3d60a9230bea30bca"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a0cd530f8a76a5fb3d60a9230bea30bca">viennacl::traits::internal_size</a></div><div class="ttdeci">vcl_size_t internal_size(vector_base< NumericT > const &vec)</div><div class="ttdoc">Helper routine for obtaining the buffer length of a ViennaCL vector. </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00375">size.hpp:375</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a5d46fe9558b0e462f10fd44942ad4fc6"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a5d46fe9558b0e462f10fd44942ad4fc6">viennacl::linalg::detail::max</a></div><div class="ttdeci">T max(const T &lhs, const T &rhs)</div><div class="ttdoc">Maximum. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2detail_2bisect_2util_8hpp_source.html#l00059">util.hpp:59</a></div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_aa9a7f4003687cae9a2af97f9fa328db5"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#aa9a7f4003687cae9a2af97f9fa328db5">viennacl::sliced_ell_matrix::rows_per_block</a></div><div class="ttdeci">vcl_size_t rows_per_block() const </div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00104">sliced_ell_matrix.hpp:104</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a3658e7c29ac0f60a20cb5871f5b5fd98"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a></div><div class="ttdeci">result_of::size_type< MatrixType >::type size2(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of columns of a matrix (ViennaCL, uBLAS, etc...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00201">size.hpp:201</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a87a0ad5f26983b1c2d24ee302d886562"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">viennacl::compressed_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00942">compressed_matrix.hpp:942</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_af71dec61a70e8df4f78a527aa989a106"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">viennacl::compressed_matrix::handle1</a></div><div class="ttdeci">const handle_type & handle1() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00936">compressed_matrix.hpp:936</a></div></div>
<div class="ttc" id="structviennacl_1_1ocl_1_1packed__cl__uint_html_ab4fed39d6fdda2db5bcb5ec29c2537d0"><div class="ttname"><a href="structviennacl_1_1ocl_1_1packed__cl__uint.html#ab4fed39d6fdda2db5bcb5ec29c2537d0">viennacl::ocl::packed_cl_uint::internal_size</a></div><div class="ttdeci">cl_uint internal_size</div><div class="ttdoc">Internal length of the buffer. Might be larger than 'size' due to padding. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00054">kernel.hpp:54</a></div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_af2e571bfc69f9f0acf3e9b19ce2b9b9f"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#af2e571bfc69f9f0acf3e9b19ce2b9b9f">viennacl::ell_matrix::internal_size1</a></div><div class="ttdeci">vcl_size_t internal_size1() const </div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00088">ell_matrix.hpp:88</a></div></div>
<div class="ttc" id="linalg_2opencl_2common_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2common_8hpp.html">common.hpp</a></div><div class="ttdoc">Common implementations shared by OpenCL-based operations. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ae69ca21ded644fdd0c7a5168011b13ed"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">viennacl::compressed_matrix::nnz</a></div><div class="ttdeci">const vcl_size_t & nnz() const </div><div class="ttdoc">Returns the number of nonzero entries. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00931">compressed_matrix.hpp:931</a></div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_abbc671358c44037b7c2b22a01f17c3a7"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#abbc671358c44037b7c2b22a01f17c3a7">viennacl::sliced_ell_matrix::handle</a></div><div class="ttdeci">handle_type & handle()</div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00118">sliced_ell_matrix.hpp:118</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html">viennacl::linalg::opencl::kernels::ell_matrix</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for ell_matrix. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2ell__matrix_8hpp_source.html#l00181">ell_matrix.hpp:181</a></div></div>
<div class="ttc" id="classviennacl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1context.html">viennacl::context</a></div><div class="ttdoc">Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also su...</div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00039">context.hpp:39</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_a83cb07a6aa15fcf960b40b4a82fdc574"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#a83cb07a6aa15fcf960b40b4a82fdc574">viennacl::hyb_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00106">hyb_matrix.hpp:106</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a23111df9ac4134639283ed5a554347f7"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a23111df9ac4134639283ed5a554347f7">viennacl::compressed_compressed_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00475">compressed_compressed_matrix.hpp:475</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa2344ea20469f55fbc15a8e9526494d0"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a></div><div class="ttdeci">vcl_size_t size(VectorType const &vec)</div><div class="ttdoc">Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00239">size.hpp:239</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ac53fc8cc9836953dc87aaaaa56f382c2"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a></div><div class="ttdeci">result_of::size_type< T >::type start2(T const &obj)</div><div class="ttdef"><b>Definition:</b> <a href="start_8hpp_source.html#l00084">start.hpp:84</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1local__mem_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a></div><div class="ttdoc">A class representing local (shared) OpenCL memory. Typically used as kernel argument. </div><div class="ttdef"><b>Definition:</b> <a href="local__mem_8hpp_source.html#l00033">local_mem.hpp:33</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_matrix</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for compressed_matrix (except solvers). </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2compressed__matrix_8hpp_source.html#l01599">compressed_matrix.hpp:1599</a></div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html">viennacl::ell_matrix</a></div><div class="ttdoc">Sparse matrix class using the ELLPACK format for storing the nonzeros. </div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00053">ell_matrix.hpp:53</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1context_html_afe68ad8c2df449f40f45db6605038946"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">viennacl::ocl::context::get_kernel</a></div><div class="ttdeci">viennacl::ocl::kernel & get_kernel(std::string const &program_name, std::string const &kernel_name)</div><div class="ttdoc">Convenience function for retrieving the kernel of a program directly from the context. </div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00605">context.hpp:605</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix_html_a1fe4c2ea3abffb44b0e3ebc5cc12489c"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html#a1fe4c2ea3abffb44b0e3ebc5cc12489c">viennacl::linalg::opencl::kernels::compressed_compressed_matrix::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp_source.html#l00079">compressed_compressed_matrix.hpp:79</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2compressed__matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2compressed__matrix_8hpp.html">compressed_matrix.hpp</a></div><div class="ttdoc">OpenCL kernel file for compressed_matrix operations. </div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1upper__tag_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1upper__tag.html">viennacl::linalg::upper_tag</a></div><div class="ttdoc">A tag class representing an upper triangular matrix. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00854">forwards.h:854</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2ell__matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2ell__matrix_8hpp.html">ell_matrix.hpp</a></div><div class="ttdoc">OpenCL kernel file for ell_matrix operations. </div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html">viennacl::sliced_ell_matrix</a></div><div class="ttdoc">Sparse matrix class using the sliced ELLPACK with parameters C, . </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00403">forwards.h:403</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a4d68a8dc9bdca6b231f5eaffab98b3ec"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4d68a8dc9bdca6b231f5eaffab98b3ec">viennacl::matrix_base::clear</a></div><div class="ttdeci">void clear()</div><div class="ttdoc">Resets all entries to zero. </div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00634">matrix.hpp:634</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a2abb84065f499162239038c7efef5e41"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41">viennacl::compressed_compressed_matrix::handle3</a></div><div class="ttdeci">const handle_type & handle3() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00473">compressed_compressed_matrix.hpp:473</a></div></div>
<div class="ttc" id="ocl_2handle_8hpp_html"><div class="ttname"><a href="ocl_2handle_8hpp.html">handle.hpp</a></div><div class="ttdoc">Implementation of a smart-pointer-like class for handling OpenCL handles. </div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a68603a1e1ca1bfb6d107831ba5096786"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a></div><div class="ttdeci">result_of::size_type< T >::type start(T const &obj)</div><div class="ttdef"><b>Definition:</b> <a href="start_8hpp_source.html#l00044">start.hpp:44</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html">viennacl::compressed_compressed_matrix</a></div><div class="ttdoc">A sparse square matrix in compressed sparse rows format optimized for the case that only a few rows c...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00265">compressed_compressed_matrix.hpp:265</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a0501c423f35eb16759db2c3028ae4857"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a0501c423f35eb16759db2c3028ae4857">viennacl::linalg::opencl::av</a></div><div class="ttdeci">void av(vector_base< T > &vec1, vector_base< T > const &vec2, ScalarType1 const &alpha, vcl_size_t len_alpha, bool reciprocal_alpha, bool flip_sign_alpha)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2vector__operations_8hpp_source.html#l00076">vector_operations.hpp:76</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a91f5145351151a66f916bdc3901206f2"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">viennacl::compressed_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00938">compressed_matrix.hpp:938</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_a321b40813370fc067e3b49afed3da469"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#a321b40813370fc067e3b49afed3da469">viennacl::hyb_matrix::size2</a></div><div class="ttdeci">vcl_size_t size2() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00099">hyb_matrix.hpp:99</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html"><div class="ttname"><a href="classviennacl_1_1vector__base.html">viennacl::vector_base< NumericT ></a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve_html_a984e1c7454bd5ad6efbd9ff06ff66301"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a984e1c7454bd5ad6efbd9ff06ff66301">viennacl::linalg::opencl::kernels::compressed_matrix_solve::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2compressed__matrix_8hpp_source.html#l01660">compressed_matrix.hpp:1660</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a98a0afcc513111ffa0bd138f891930df"><div class="ttname"><a href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">viennacl::vcl_size_t</a></div><div class="ttdeci">std::size_t vcl_size_t</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00075">forwards.h:75</a></div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_a16cd8194ca5b263de32f131362498d77"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#a16cd8194ca5b263de32f131362498d77">viennacl::sliced_ell_matrix::size1</a></div><div class="ttdeci">vcl_size_t size1() const </div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00101">sliced_ell_matrix.hpp:101</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html">viennacl::linalg::opencl::kernels::compressed_matrix_solve</a></div><div class="ttdoc">Main kernel class for triangular solver OpenCL kernels for compressed_matrix. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2compressed__matrix_8hpp_source.html#l01653">compressed_matrix.hpp:1653</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix.html">viennacl::linalg::opencl::kernels::sliced_ell_matrix</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for ell_matrix. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2sliced__ell__matrix_8hpp_source.html#l00093">sliced_ell_matrix.hpp:93</a></div></div>
<div class="ttc" id="linalg_2host__based_2common_8hpp_html"><div class="ttname"><a href="linalg_2host__based_2common_8hpp.html">common.hpp</a></div><div class="ttdoc">Common routines for single-threaded or OpenMP-enabled execution on CPU. </div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< unsigned int ></a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2sliced__ell__matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2sliced__ell__matrix_8hpp.html">sliced_ell_matrix.hpp</a></div><div class="ttdoc">OpenCL kernel file for sliced_ell_matrix operations. </div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_af52325d0e501652d68ca5be85d3ea98c"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#af52325d0e501652d68ca5be85d3ea98c">viennacl::ell_matrix::maxnnz</a></div><div class="ttdeci">vcl_size_t maxnnz() const </div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00095">ell_matrix.hpp:95</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ace596004f16c075adbfcd329e6c60e91"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a></div><div class="ttdeci">result_of::size_type< matrix_base< NumericT > >::type stride2(matrix_base< NumericT > const &s)</div><div class="ttdef"><b>Definition:</b> <a href="stride_8hpp_source.html#l00065">stride.hpp:65</a></div></div>
<div class="ttc" id="classviennacl_1_1coordinate__matrix_html_a66b7f5c5487b719c91bc76984f89f97f"><div class="ttname"><a href="classviennacl_1_1coordinate__matrix.html#a66b7f5c5487b719c91bc76984f89f97f">viennacl::coordinate_matrix::handle3</a></div><div class="ttdeci">const handle_type & handle3() const </div><div class="ttdoc">Returns the OpenCL handle to the group start index array. </div><div class="ttdef"><b>Definition:</b> <a href="coordinate__matrix_8hpp_source.html#l00370">coordinate_matrix.hpp:370</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2hyb__matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2hyb__matrix_8hpp.html">hyb_matrix.hpp</a></div><div class="ttdoc">OpenCL kernel file for hyb_matrix operations. </div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_a7fe5450dbe53bb797938aa920d4bbb68"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#a7fe5450dbe53bb797938aa920d4bbb68">viennacl::ell_matrix::handle</a></div><div class="ttdeci">handle_type & handle()</div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00100">ell_matrix.hpp:100</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00348">forwards.h:348</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_aba08ea5f9d1c12dff5da58e0dff7a6fe"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">viennacl::compressed_matrix::reserve</a></div><div class="ttdeci">void reserve(vcl_size_t new_nonzeros, bool preserve=true)</div><div class="ttdoc">Allocate memory for the supplied number of nonzeros in the matrix. Old values are preserved...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00794">compressed_matrix.hpp:794</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ac90a3dca0595b15ae04662bddb6cf57c"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ac90a3dca0595b15ae04662bddb6cf57c">viennacl::linalg::opencl::inplace_solve</a></div><div class="ttdeci">void inplace_solve(matrix_base< NumericT > const &A, matrix_base< NumericT > &B, SolverTagT)</div><div class="ttdoc">Direct inplace solver for dense triangular systems. Matlab notation: A \ B. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2direct__solve_8hpp_source.html#l00077">direct_solve.hpp:77</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_ac5ea989c9c8474fabafa9dd905f0787a"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ac5ea989c9c8474fabafa9dd905f0787a">viennacl::compressed_matrix::handle3</a></div><div class="ttdeci">const handle_type & handle3() const </div><div class="ttdoc">Returns the OpenCL handle to the row block array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00940">compressed_matrix.hpp:940</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_abf5acd243b2b1571cc7a486e89485ca0"><div class="ttname"><a href="classviennacl_1_1vector__base.html#abf5acd243b2b1571cc7a486e89485ca0">viennacl::vector_base::clear</a></div><div class="ttdeci">void clear()</div><div class="ttdoc">Resets all entries to zero. Does not change the size of the vector. </div><div class="ttdef"><b>Definition:</b> <a href="vector_8hpp_source.html#l00875">vector.hpp:875</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a6707f5dab8f482170d2046a605f46ef8"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a></div><div class="ttdeci">viennacl::context context(T const &t)</div><div class="ttdoc">Returns an ID for the currently active memory domain of an object. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2context_8hpp_source.html#l00040">context.hpp:40</a></div></div>
<div class="ttc" id="classviennacl_1_1coordinate__matrix_html_aeb74dd2ab673d7912a17f60777e9bf6c"><div class="ttname"><a href="classviennacl_1_1coordinate__matrix.html#aeb74dd2ab673d7912a17f60777e9bf6c">viennacl::coordinate_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="coordinate__matrix_8hpp_source.html#l00368">coordinate_matrix.hpp:368</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1ocl_html_a5f2022f653ea1cf364d20e3ff84dcada"><div class="ttname"><a href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a></div><div class="ttdeci">void enqueue(KernelType &k, viennacl::ocl::command_queue const &queue)</div><div class="ttdoc">Enqueues a kernel in the provided queue. </div><div class="ttdef"><b>Definition:</b> <a href="enqueue_8hpp_source.html#l00050">enqueue.hpp:50</a></div></div>
<div class="ttc" id="kernel_8hpp_html"><div class="ttname"><a href="kernel_8hpp.html">kernel.hpp</a></div><div class="ttdoc">Representation of an OpenCL kernel in ViennaCL. </div></div>
<div class="ttc" id="vector_8hpp_html"><div class="ttname"><a href="vector_8hpp.html">vector.hpp</a></div><div class="ttdoc">The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...</div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_aa59ae796d592a679a4c6036ba84f61b0"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#aa59ae796d592a679a4c6036ba84f61b0">viennacl::sliced_ell_matrix::handle3</a></div><div class="ttdeci">handle_type & handle3()</div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00115">sliced_ell_matrix.hpp:115</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a15ec879f9e85a6fc209454b0bf137084"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a15ec879f9e85a6fc209454b0bf137084">viennacl::matrix_base::row_major</a></div><div class="ttdeci">bool row_major() const </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00248">matrix_def.hpp:248</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_adc2e9ed3e4d9fb0258840837aaa722aca0750e54730307e2c1d1b6bfaabc7a1dd"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#adc2e9ed3e4d9fb0258840837aaa722aca0750e54730307e2c1d1b6bfaabc7a1dd">viennacl::linalg::detail::SPARSE_ROW_DIAGONAL</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00842">forwards.h:842</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix_html_a15b4aa71e7adbd510fc482394034b4b1"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2compressed__matrix_8hpp_source.html#l01606">compressed_matrix.hpp:1606</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp.html">compressed_compressed_matrix.hpp</a></div><div class="ttdoc">OpenCL kernel file for vector operations. </div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_ac31bfde381eb40e0349678252c444af9"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">viennacl::backend::typesafe_host_array::set</a></div><div class="ttdeci">void set(vcl_size_t index, U value)</div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00115">util.hpp:115</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_a15c47ae4326098aeaa4ed6b91fc6df9b"><div class="ttname"><a href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">viennacl::vector_base::size</a></div><div class="ttdeci">size_type size() const </div><div class="ttdoc">Returns the length of the vector (cf. std::vector) </div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00118">vector_def.hpp:118</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a0ef5813f941dfd2db310be6d35c4ef66"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">viennacl::compressed_compressed_matrix::nnz1</a></div><div class="ttdeci">const vcl_size_t & nnz1() const </div><div class="ttdoc">Returns the number of nonzero entries. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00464">compressed_compressed_matrix.hpp:464</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_ad283de5ab491d075b34788c3293890ce"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#ad283de5ab491d075b34788c3293890ce">viennacl::hyb_matrix::ell_nnz</a></div><div class="ttdeci">vcl_size_t ell_nnz() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00102">hyb_matrix.hpp:102</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1unit__lower__tag_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1unit__lower__tag.html">viennacl::linalg::unit_lower_tag</a></div><div class="ttdoc">A tag class representing a lower triangular matrix with unit diagonal. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00859">forwards.h:859</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1kernel_html_a0144c18ae9f07722e5b5697335b7cff5"><div class="ttname"><a href="classviennacl_1_1ocl_1_1kernel.html#a0144c18ae9f07722e5b5697335b7cff5">viennacl::ocl::kernel::global_work_size</a></div><div class="ttdeci">size_type global_work_size(int index=0) const </div><div class="ttdoc">Returns the global work size at the respective dimension. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00751">kernel.hpp:751</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2coordinate__matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2coordinate__matrix_8hpp.html">coordinate_matrix.hpp</a></div><div class="ttdoc">OpenCL kernel file for coordinate_matrix operations. </div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a></div><div class="ttdoc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00089">mem_handle.hpp:89</a></div></div>
<div class="ttc" id="structviennacl_1_1op__trans_html"><div class="ttname"><a href="structviennacl_1_1op__trans.html">viennacl::op_trans</a></div><div class="ttdoc">A tag class representing transposed matrices. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00220">forwards.h:220</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_ac8373f0d899b89c843e14de4cb7a1c4a"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">viennacl::backend::mem_handle::raw_size</a></div><div class="ttdeci">vcl_size_t raw_size() const </div><div class="ttdoc">Returns the number of bytes of the currently active buffer. </div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00230">mem_handle.hpp:230</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix</a></div><div class="ttdoc">A sparse square matrix in compressed sparse rows format. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00559">compressed_matrix.hpp:559</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a7f1b00757223e6feecf70a8657a9f096"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a></div><div class="ttdeci">void exclusive_scan(vector_base< NumericT > &vec1, vector_base< NumericT > &vec2)</div><div class="ttdoc">This function implements an exclusive scan. </div><div class="ttdef"><b>Definition:</b> <a href="vector__operations_8hpp_source.html#l01240">vector_operations.hpp:1240</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_aed5ff60ddfef1cd59108064a5d4cdd7f"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#aed5ff60ddfef1cd59108064a5d4cdd7f">viennacl::hyb_matrix::handle5</a></div><div class="ttdeci">const handle_type & handle5() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00109">hyb_matrix.hpp:109</a></div></div>
<div class="ttc" id="classviennacl_1_1hyb__matrix_html_ab5f077832dd0efade9f5037327a1786d"><div class="ttname"><a href="classviennacl_1_1hyb__matrix.html#ab5f077832dd0efade9f5037327a1786d">viennacl::hyb_matrix::size1</a></div><div class="ttdeci">vcl_size_t size1() const </div><div class="ttdef"><b>Definition:</b> <a href="hyb__matrix_8hpp_source.html#l00098">hyb_matrix.hpp:98</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1detail_html_a144fd7dc25be2029356c24f07f281edc"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a144fd7dc25be2029356c24f07f281edc">viennacl::linalg::opencl::detail::block_inplace_solve</a></div><div class="ttdeci">void block_inplace_solve(const matrix_expression< const compressed_matrix< NumericT, AlignmentV >, const compressed_matrix< NumericT, AlignmentV >, op_trans > &L, viennacl::backend::mem_handle const &block_indices, vcl_size_t num_blocks, vector_base< NumericT > const &, vector_base< NumericT > &x, viennacl::linalg::unit_lower_tag)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2sparse__matrix__operations_8hpp_source.html#l00483">sparse_matrix_operations.hpp:483</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix_html_afd8edb6f7bcc5c227671c3f5c819151b"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html#afd8edb6f7bcc5c227671c3f5c819151b">viennacl::linalg::opencl::kernels::hyb_matrix::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2hyb__matrix_8hpp_source.html#l00208">hyb_matrix.hpp:208</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a805bdfab01b09101034b85e482e39701"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a805bdfab01b09101034b85e482e39701">viennacl::compressed_matrix::blocks1</a></div><div class="ttdeci">const vcl_size_t & blocks1() const </div><div class="ttdoc">Returns the internal number of row blocks for an adaptive SpMV. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00933">compressed_matrix.hpp:933</a></div></div>
<div class="ttc" id="classviennacl_1_1ell__matrix_html_ae3280590756e720a8d8dacdeed4b702a"><div class="ttname"><a href="classviennacl_1_1ell__matrix.html#ae3280590756e720a8d8dacdeed4b702a">viennacl::ell_matrix::internal_maxnnz</a></div><div class="ttdeci">vcl_size_t internal_maxnnz() const </div><div class="ttdef"><b>Definition:</b> <a href="ell__matrix_8hpp_source.html#l00094">ell_matrix.hpp:94</a></div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_ae0afefc19f6dc7692a87cd8a16b51d30"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#ae0afefc19f6dc7692a87cd8a16b51d30">viennacl::sliced_ell_matrix::size2</a></div><div class="ttdeci">vcl_size_t size2() const </div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00102">sliced_ell_matrix.hpp:102</a></div></div>
<div class="ttc" id="classviennacl_1_1sliced__ell__matrix_html_a94043424c01974b2db8062f74f625825"><div class="ttname"><a href="classviennacl_1_1sliced__ell__matrix.html#a94043424c01974b2db8062f74f625825">viennacl::sliced_ell_matrix::handle1</a></div><div class="ttdeci">handle_type & handle1()</div><div class="ttdef"><b>Definition:</b> <a href="sliced__ell__matrix_8hpp_source.html#l00109">sliced_ell_matrix.hpp:109</a></div></div>
<div class="ttc" id="scalar_8hpp_html"><div class="ttname"><a href="scalar_8hpp.html">scalar.hpp</a></div><div class="ttdoc">Implementation of the ViennaCL scalar class. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_afcf49945a63836e1edfca536fcd191fb"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">viennacl::compressed_matrix::resize</a></div><div class="ttdeci">void resize(vcl_size_t new_size1, vcl_size_t new_size2, bool preserve=true)</div><div class="ttdoc">Resize the matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00829">compressed_matrix.hpp:829</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_a64e98aea5aa298ad63e3832a04c19648"><div class="ttname"><a href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">viennacl::vector_base::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the memory handle. </div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00128">vector_def.hpp:128</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix_html_afc7ee4c881f6aaaedbbc3d9dcd46d99b"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html#afc7ee4c881f6aaaedbbc3d9dcd46d99b">viennacl::linalg::opencl::kernels::ell_matrix::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2ell__matrix_8hpp_source.html#l00188">ell_matrix.hpp:188</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1device_html_ab2af60036bc98136d07090b9498e2b26"><div class="ttname"><a href="classviennacl_1_1ocl_1_1device.html#ab2af60036bc98136d07090b9498e2b26">viennacl::ocl::device::max_work_group_size</a></div><div class="ttdeci">size_t max_work_group_size() const </div><div class="ttdoc">Maximum number of work-items in a work-group executing a kernel using the data parallel execution mod...</div><div class="ttdef"><b>Definition:</b> <a href="device_8hpp_source.html#l00483">device.hpp:483</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1unit__upper__tag_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1unit__upper__tag.html">viennacl::linalg::unit_upper_tag</a></div><div class="ttdoc">A tag class representing an upper triangular matrix with unit diagonal. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00864">forwards.h:864</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html">viennacl::linalg::opencl::kernels::compressed_compressed_matrix</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for compressed_compressed_matrix. ...</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2compressed__compressed__matrix_8hpp_source.html#l00072">compressed_compressed_matrix.hpp:72</a></div></div>
<div class="ttc" id="structviennacl_1_1ocl_1_1packed__cl__uint_html_a5f4dcdfd54664fb7859b27f3dec641c0"><div class="ttname"><a href="structviennacl_1_1ocl_1_1packed__cl__uint.html#a5f4dcdfd54664fb7859b27f3dec641c0">viennacl::ocl::packed_cl_uint::size</a></div><div class="ttdeci">cl_uint size</div><div class="ttdoc">Number of values in the stride. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00052">kernel.hpp:52</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html">viennacl::linalg::opencl::kernels::hyb_matrix</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for hyb_matrix. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2hyb__matrix_8hpp_source.html#l00201">hyb_matrix.hpp:201</a></div></div>
<div class="ttc" id="classviennacl_1_1coordinate__matrix_html"><div class="ttname"><a href="classviennacl_1_1coordinate__matrix.html">viennacl::coordinate_matrix</a></div><div class="ttdoc">A sparse square matrix, where entries are stored as triplets (i,j, val), where i and j are the row an...</div><div class="ttdef"><b>Definition:</b> <a href="coordinate__matrix_8hpp_source.html#l00186">coordinate_matrix.hpp:186</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html_a59f2ec43f298cc04d2f2bbbeee239bfe"><div class="ttname"><a href="classviennacl_1_1vector.html#a59f2ec43f298cc04d2f2bbbeee239bfe">viennacl::vector::switch_memory_context</a></div><div class="ttdeci">void switch_memory_context(viennacl::context new_ctx)</div><div class="ttdef"><b>Definition:</b> <a href="vector_8hpp_source.html#l01064">vector.hpp:1064</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1detail_html_a256a599dedd093618c9936e85a75b3d4"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1detail.html#a256a599dedd093618c9936e85a75b3d4">viennacl::linalg::opencl::detail::row_info</a></div><div class="ttdeci">void row_info(compressed_matrix< NumericT, AlignmentV > const &A, vector_base< NumericT > &x, viennacl::linalg::detail::row_info_types info_selector)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2sparse__matrix__operations_8hpp_source.html#l00056">sparse_matrix_operations.hpp:56</a></div></div>
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