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<div class="title">ilu_operations.hpp</div> </div>
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<a href="opencl_2ilu__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_ILU_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_OPENCL_ILU_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 PDF 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 <cmath></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <algorithm></span> <span class="comment">//for std::max and std::min</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</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="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="opencl_2kernels_2ilu_8hpp.html">viennacl/linalg/opencl/kernels/ilu.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="predicate_8hpp.html">viennacl/meta/predicate.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="enable__if_8hpp.html">viennacl/meta/enable_if.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="size_8hpp.html">viennacl/traits/size.hpp</a>"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="start_8hpp.html">viennacl/traits/start.hpp</a>"</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="stride_8hpp.html">viennacl/traits/stride.hpp</a>"</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="vector__operations_8hpp.html">viennacl/linalg/vector_operations.hpp</a>"</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span>opencl</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a7edd26f05bd40c62f6b8a875c389b244"> 51</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a7edd26f05bd40c62f6b8a875c389b244">extract_L</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L)</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</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="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// Step 1: Count elements in L:</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"extract_L_1"</span>);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</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="l00063"></a><span class="lineno"> 63</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle())</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  );</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Step 2: Exclusive scan on row_buffers:</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<unsigned int></a> wrapped_L_row_buffer(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1, 0, 1);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(wrapped_L_row_buffer, wrapped_L_row_buffer);</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(wrapped_L_row_buffer[L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()], <span class="keyword">false</span>);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Step 3: Write entries</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"extract_L_2"</span>);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</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(), 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="l00080"></a><span class="lineno"> 80</span>  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="l00081"></a><span class="lineno"> 81</span>  );</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> } <span class="comment">// extract_LU</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a36411baaa661bc6fd36414c4b4ff7207"> 93</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a36411baaa661bc6fd36414c4b4ff7207">icc_scale</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> D(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</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="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</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="comment">// fill D:</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k1 = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"ilu_scale_kernel_1"</span>);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</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(), 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>()), D) );</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// scale L:</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k2 = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"ilu_scale_kernel_2"</span>);</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k2(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(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()), D) );</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</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> </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#ad509a40299ee8a22ee124ac9fca09cb3"> 116</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ad509a40299ee8a22ee124ac9fca09cb3">icc_chow_patel_sweep</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & aij_L)</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> {</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</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="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> L_backup;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(L_backup, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(L));</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), L_backup, 0, 0, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>());</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>  <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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"icc_chow_patel_sweep_kernel"</span>);</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(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(), L_backup.opencl_handle(), cl_uint(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  aij_L)</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  );</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</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> </div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a51f0b4acf575c8237c7e986ec2cf17cf"> 137</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a51f0b4acf575c8237c7e986ec2cf17cf">extract_LU</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U)</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>  <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="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</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="comment">//</span></div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Step 1: Count elements in L and U:</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"extract_LU_1"</span>);</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </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>(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="l00150"></a><span class="lineno"> 150</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(),</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle())</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  );</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Step 2: Exclusive scan on row_buffers:</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<unsigned int></a> wrapped_L_row_buffer(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1, 0, 1);</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(wrapped_L_row_buffer, wrapped_L_row_buffer);</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(wrapped_L_row_buffer[L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()], <span class="keyword">false</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>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<unsigned int></a> wrapped_U_row_buffer(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1, 0, 1);</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(wrapped_U_row_buffer, wrapped_U_row_buffer);</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  U.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(wrapped_U_row_buffer[U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()], <span class="keyword">false</span>);</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="comment">//</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Step 3: Write entries</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"extract_LU_2"</span>);</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</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(), 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="l00171"></a><span class="lineno"> 171</span>  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="l00172"></a><span class="lineno"> 172</span>  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="l00173"></a><span class="lineno"> 173</span>  );</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Note: block information for U will be generated after transposition</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> } <span class="comment">// extract_LU</span></div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a33cf95ba34e609c741dea02cb2ff0b85"> 186</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a33cf95ba34e609c741dea02cb2ff0b85">ilu_scale</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U)</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> {</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> D(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</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="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</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>  <span class="comment">// fill D:</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k1 = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"ilu_scale_kernel_1"</span>);</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</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(), 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>()), D) );</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="comment">// scale L:</span></div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k2 = ctx.get_kernel(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"ilu_scale_kernel_2"</span>);</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k2(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(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()), D) );</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// scale U:</span></div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k2(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(), cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()), D) );</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#aea862854adfe64ffb7cd1fdda6c47d76"> 213</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#aea862854adfe64ffb7cd1fdda6c47d76">ilu_chow_patel_sweep</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & aij_L,</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U_trans,</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & aij_U_trans)</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</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="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> L_backup;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(L_backup, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(L));</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), L_backup, 0, 0, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>());</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> U_backup;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(U_backup, U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(U_trans));</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), U_backup, 0, 0, U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>());</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_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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"ilu_chow_patel_sweep_kernel"</span>);</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</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(), L_backup.opencl_handle(), cl_uint(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  aij_L,</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), U_backup.opencl_handle(),</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  aij_U_trans)</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  );</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> }</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a885c9962160532bc86cc659434029550"> 243</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a885c9962160532bc86cc659434029550">ilu_form_neumann_matrix</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & R,</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & diag_R)</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>  <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(R).context());</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</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_1ilu.html">viennacl::linalg::opencl::kernels::ilu<NumericT>::program_name</a>(), <span class="stringliteral">"ilu_form_neumann_matrix_kernel"</span>);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(R.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(), R.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(), R.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(), cl_uint(R.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  diag_R)</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  );</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> }</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> } <span class="comment">//namespace opencl</span></div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="size_8hpp_html"><div class="ttname"><a href="size_8hpp.html">size.hpp</a></div><div class="ttdoc">Generic size and resize functionality for different vector and matrix types. </div></div>
<div class="ttc" id="vector__operations_8hpp_html"><div class="ttname"><a href="vector__operations_8hpp.html">vector_operations.hpp</a></div><div class="ttdoc">Implementations of vector operations. </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_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="start_8hpp_html"><div class="ttname"><a href="start_8hpp.html">start.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL start index handle from a vector, a matrix, an expression etc...</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_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="namespaceviennacl_1_1linalg_1_1opencl_html_a33cf95ba34e609c741dea02cb2ff0b85"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a33cf95ba34e609c741dea02cb2ff0b85">viennacl::linalg::opencl::ilu_scale</a></div><div class="ttdeci">void ilu_scale(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L, compressed_matrix< NumericT > &U)</div><div class="ttdoc">Scales the values extracted from A such that A' = DAD has unit diagonal. Updates values from A in L a...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00186">ilu_operations.hpp:186</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="stride_8hpp_html"><div class="ttname"><a href="stride_8hpp.html">stride.hpp</a></div><div class="ttdoc">Determines row and column increments for matrices and matrix proxies. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_aea862854adfe64ffb7cd1fdda6c47d76"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#aea862854adfe64ffb7cd1fdda6c47d76">viennacl::linalg::opencl::ilu_chow_patel_sweep</a></div><div class="ttdeci">void ilu_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > const &aij_L, compressed_matrix< NumericT > &U_trans, vector< NumericT > const &aij_U_trans)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ILU using OpenCL (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00213">ilu_operations.hpp:213</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="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_ab5922a97b73b869fbeeb6a2fa40e3b06"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">viennacl::compressed_matrix::generate_row_block_information</a></div><div class="ttdeci">void generate_row_block_information()</div><div class="ttdoc">Builds the row block information needed for fast sparse matrix-vector multiplications. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00999">compressed_matrix.hpp:999</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html">viennacl::linalg::opencl::kernels::ilu</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for incomplete LU factorization preconditioners. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2kernels_2ilu_8hpp_source.html#l00453">ilu.hpp:453</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a7edd26f05bd40c62f6b8a875c389b244"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a7edd26f05bd40c62f6b8a875c389b244">viennacl::linalg::opencl::extract_L</a></div><div class="ttdeci">void extract_L(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00051">ilu_operations.hpp:51</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="opencl_2kernels_2ilu_8hpp_html"><div class="ttname"><a href="opencl_2kernels_2ilu_8hpp.html">ilu.hpp</a></div><div class="ttdoc">OpenCL kernel file for nonnegative matrix factorization. </div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu_html_a94459380f1ee4d134117efbf6120b4a2"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a94459380f1ee4d134117efbf6120b4a2">viennacl::linalg::opencl::kernels::ilu::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2kernels_2ilu_8hpp_source.html#l00460">ilu.hpp:460</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_1vector__base_html"><div class="ttname"><a href="classviennacl_1_1vector__base.html">viennacl::vector_base< unsigned int ></a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< NumericT ></a></div></div>
<div class="ttc" id="predicate_8hpp_html"><div class="ttname"><a href="predicate_8hpp.html">predicate.hpp</a></div><div class="ttdoc">All the predicates used within ViennaCL. Checks for expressions to be vectors, etc. </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_1backend_html_a39a91fd7aa68ebf64bd7bfa409732ec0"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a></div><div class="ttdeci">void memory_copy(mem_handle const &src_buffer, mem_handle &dst_buffer, vcl_size_t src_offset, vcl_size_t dst_offset, vcl_size_t bytes_to_copy)</div><div class="ttdoc">Copies 'bytes_to_copy' bytes from address 'src_buffer + src_offset' to memory starting at address 'ds...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00140">memory.hpp:140</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="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="namespaceviennacl_1_1linalg_1_1opencl_html_a885c9962160532bc86cc659434029550"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a885c9962160532bc86cc659434029550">viennacl::linalg::opencl::ilu_form_neumann_matrix</a></div><div class="ttdeci">void ilu_form_neumann_matrix(compressed_matrix< NumericT > &R, vector< NumericT > &diag_R)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00243">ilu_operations.hpp:243</a></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="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< NumericT ></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="namespaceviennacl_1_1backend_html_a1499f19634964e2c7c8aeeefc6206126"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a></div><div class="ttdeci">void memory_create(mem_handle &handle, vcl_size_t size_in_bytes, viennacl::context const &ctx, const void *host_ptr=NULL)</div><div class="ttdoc">Creates an array of the specified size. If the second argument is provided, the buffer is initialized...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00087">memory.hpp:87</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ad509a40299ee8a22ee124ac9fca09cb3"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ad509a40299ee8a22ee124ac9fca09cb3">viennacl::linalg::opencl::icc_chow_patel_sweep</a></div><div class="ttdeci">void icc_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > const &aij_L)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ILU using OpenCL (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00116">ilu_operations.hpp:116</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a51f0b4acf575c8237c7e986ec2cf17cf"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a51f0b4acf575c8237c7e986ec2cf17cf">viennacl::linalg::opencl::extract_LU</a></div><div class="ttdeci">void extract_LU(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L, compressed_matrix< NumericT > &U)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00137">ilu_operations.hpp:137</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="namespaceviennacl_1_1linalg_1_1opencl_html_a36411baaa661bc6fd36414c4b4ff7207"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a36411baaa661bc6fd36414c4b4ff7207">viennacl::linalg::opencl::icc_scale</a></div><div class="ttdeci">void icc_scale(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdoc">Scales the values extracted from A such that A' = DAD has unit diagonal. Updates values from A in L a...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00093">ilu_operations.hpp:93</a></div></div>
<div class="ttc" id="enable__if_8hpp_html"><div class="ttname"><a href="enable__if_8hpp.html">enable_if.hpp</a></div><div class="ttdoc">Simple enable-if variant that uses the SFINAE pattern. </div></div>
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