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<div class="title">amg_operations.hpp</div> </div>
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<a href="opencl_2amg__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_AMG_OPERATIONS_HPP</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_OPENCL_AMG_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 <cstdlib></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <cmath></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <map></span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="amg__base_8hpp.html">viennacl/linalg/detail/amg/amg_base.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</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="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="opencl_2kernels_2amg_8hpp.html">viennacl/linalg/opencl/kernels/amg.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>opencl</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div>
<div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html"> 40</a></span> <span class="keyword">namespace </span>amg</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> </div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a017caeded7340b96a3a6038a9d3fc2be"> 48</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a017caeded7340b96a3a6038a9d3fc2be">amg_influence_trivial</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="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  (void)tag;</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_1amg.html#a63e6eeb18e0d17d50b57cee6b8cfc268">viennacl::linalg::opencl::kernels::amg<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & influence_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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_influence_trivial"</span>);</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(influence_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(),</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>()),</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  viennacl::traits::opencl_handle(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>),</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  viennacl::traits::opencl_handle(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>),</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  viennacl::traits::opencl_handle(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a757fe2a72ed0d9eb3649ecda1c83129e">influence_values_</a>)</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> }</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#aded9ed5b1a39f79b125965f5b30b7274"> 71</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#aded9ed5b1a39f79b125965f5b30b7274">amg_influence_advanced</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="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> {</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  (void)A; (void)amg_context; (void)tag;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"amg_influence_advanced() not implemented for OpenCL yet"</span>);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</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> </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4f036d7c290d3314afcb11c2978b2b48"> 82</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4f036d7c290d3314afcb11c2978b2b48">amg_influence</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="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> {</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// TODO: dispatch based on influence tolerance provided</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a017caeded7340b96a3a6038a9d3fc2be">amg_influence_trivial</a>(A, amg_context, tag);</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="l00091"></a><span class="lineno"> 91</span> </div>
<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4308a96c905d5147193b430144f0dc8e"> 96</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4308a96c905d5147193b430144f0dc8e">enumerate_coarse_points</a>(<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context)</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_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> point_types(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> coarse_ids(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), 0, point_types.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), point_types.get());</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), 0, coarse_ids.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), coarse_ids.get());</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> coarse_id = 0;</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>(); ++i)</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>  coarse_ids.set(i, coarse_id);</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span> (point_types[i] == <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a>)</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  ++coarse_id;</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="l00111"></a><span class="lineno"> 111</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a> = coarse_id;</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>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), 0, coarse_ids.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), coarse_ids.get());</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </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> </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a457784b2df3254e422303c38374cc2be"> 128</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a457784b2df3254e422303c38374cc2be">amg_coarse_ag_stage1_mis2</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="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</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>  (void)tag;</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</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="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html#a63e6eeb18e0d17d50b57cee6b8cfc268">viennacl::linalg::opencl::kernels::amg<NumericT>::init</a>(ctx);</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>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> random_weights(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>));</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *random_weights_ptr = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(random_weights.handle());</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<random_weights.size(); ++i)</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  random_weights_ptr[i] = static_cast<unsigned int>(rand()) % static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>());</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  random_weights.<a class="code" href="classviennacl_1_1vector.html#a59f2ec43f298cc04d2f2bbbeee239bfe">switch_memory_context</a>(<a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// work vectors:</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_state(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="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_random(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="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_index(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="l00146"></a><span class="lineno"> 146</span> </div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_state2(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="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_random2(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="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> work_index2(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="l00150"></a><span class="lineno"> 150</span> </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_undecided = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>());</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> undecided_buffer(256, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> undecided_buffer_host(undecided_buffer.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), undecided_buffer.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>());</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>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & init_workdata_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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_pmis2_init_workdata"</span>);</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & max_neighborhood_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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_pmis2_max_neighborhood"</span>);</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & mark_mis_nodes_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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_pmis2_mark_mis_nodes"</span>);</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & reset_state_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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_pmis2_reset_state"</span>);</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pmis_iters = 0;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">while</span> (num_undecided > 0)</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>  ++pmis_iters;</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">// init temporary work data:</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="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(init_workdata_kernel(work_state, work_random, work_index,</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>,</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  random_weights,</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  )</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>  <span class="comment">//</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Propagate maximum tuple twice</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> r = 0; r < 2; ++r)</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>  <span class="comment">// max operation</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(max_neighborhood_kernel(work_state, work_random, work_index,</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  work_state2, work_random2, work_index2,</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>, amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>,</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  )</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  );</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// copy work array (can be fused into a single kernel if needed. Previous kernel is in most cases sufficiently heavy)</span></div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  work_state = work_state2;</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  work_random = work_random2;</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  work_index = work_index2;</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="comment">// mark MIS and non-MIS nodes:</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">//</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>(mark_mis_nodes_kernel(work_state, work_index,</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>,</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  undecided_buffer,</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  )</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> </div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// get number of undecided points on host:</span></div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(undecided_buffer.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>(), 0, undecided_buffer_host.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), undecided_buffer_host.get());</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  num_undecided = 0;</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">for</span> (std::size_t i=0; i<undecided_buffer.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>(); ++i)</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  num_undecided += undecided_buffer_host[i];</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>  } <span class="comment">//while</span></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>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(reset_state_kernel(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>, cl_uint(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>()) ) );</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00224"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a65fae30f881997029e30dc1a822930ec"> 224</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a65fae30f881997029e30dc1a822930ec">amg_coarse_ag</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="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> {</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</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="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html#a63e6eeb18e0d17d50b57cee6b8cfc268">viennacl::linalg::opencl::kernels::amg<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a017caeded7340b96a3a6038a9d3fc2be">amg_influence_trivial</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// Stage 1: Build aggregates:</span></div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">get_coarsening_method</a>() == <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b">viennacl::linalg::AMG_COARSENING_METHOD_MIS2_AGGREGATION</a>)</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a457784b2df3254e422303c38374cc2be">amg_coarse_ag_stage1_mis2</a>(A, amg_context, tag);</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Only MIS2 coarsening implemented. Selected coarsening not available with OpenCL backend!"</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>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4308a96c905d5147193b430144f0dc8e">viennacl::linalg::opencl::amg::enumerate_coarse_points</a>(amg_context);</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Stage 2: Propagate coarse aggregate indices to neighbors:</span></div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & propagate_coarse_indices = 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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_agg_propagate_coarse_indices"</span>);</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(propagate_coarse_indices(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>,</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>,</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>,</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>,</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</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">//</span></div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// Stage 3: Merge remaining undecided points (merging to first aggregate found when cycling over the hierarchy</span></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & merge_undecided = 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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_agg_merge_undecided"</span>);</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(merge_undecided(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>,</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>,</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">influence_jumper_</a>,</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">influence_ids_</a>,</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</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>  );</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</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">// Stage 4: Set undecided points to fine points (coarse ID already set in Stage 3)</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Note: Stage 3 and Stage 4 were initially fused, but are now split in order to avoid race conditions (or a fallback to sequential execution).</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & merge_undecided_2 = 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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_agg_merge_undecided_2"</span>);</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(merge_undecided_2(amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">point_types_</a>, cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) ) );</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> }</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> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">template</span><<span class="keyword">typename</span> InternalT1></div>
<div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#ac706dd2449d6dc3b39a9e0c67dcb7db0"> 286</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#ac706dd2449d6dc3b39a9e0c67dcb7db0">amg_coarse</a>(InternalT1 & A,</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> {</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">switch</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">get_coarsening_method</a>())</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b">viennacl::linalg::AMG_COARSENING_METHOD_MIS2_AGGREGATION</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a65fae30f881997029e30dc1a822930ec">amg_coarse_ag</a>(A, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">default</span>: <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"not implemented yet"</span>);</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> }</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </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="l00301"></a><span class="lineno"> 301</span> </div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a6b413f8b82073732453d79e52ccfd0d0"> 311</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a6b413f8b82073732453d79e52ccfd0d0">amg_interpol_ag</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="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & P,</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> {</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</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="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html#a63e6eeb18e0d17d50b57cee6b8cfc268">viennacl::linalg::opencl::kernels::amg<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  (void)tag;</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  P = <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a>, 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="l00321"></a><span class="lineno"> 321</span> </div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// build matrix here</span></div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & interpolate_ag = 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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_interpol_ag"</span>);</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(interpolate_ag(P.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(),</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  P.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  P.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">coarse_id_</a>,</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>())</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> </div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  P.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> }</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00343"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a95de316ed56d654c3ad747efd1059718"> 343</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a95de316ed56d654c3ad747efd1059718">amg_interpol_sa</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="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & P,</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> {</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</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="l00349"></a><span class="lineno"> 349</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html#a63e6eeb18e0d17d50b57cee6b8cfc268">viennacl::linalg::opencl::kernels::amg<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  (void)tag;</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> P_tentative(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), amg_context.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">num_coarse_</a>, 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="l00353"></a><span class="lineno"> 353</span> </div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="comment">// form tentative operator:</span></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a6b413f8b82073732453d79e52ccfd0d0">amg_interpol_ag</a>(A, P_tentative, amg_context, tag);</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>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> Jacobi(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</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="l00358"></a><span class="lineno"> 358</span> </div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & interpol_sa = 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_1amg.html">viennacl::linalg::opencl::kernels::amg<NumericT>::program_name</a>(), <span class="stringliteral">"amg_interpol_sa"</span>);</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(interpol_sa(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().opencl_handle(),</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().opencl_handle(),</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().opencl_handle(),</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  cl_uint(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#ae69ca21ded644fdd0c7a5168011b13ed">nnz</a>()),</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  Jacobi.handle1().opencl_handle(),</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  Jacobi.handle2().opencl_handle(),</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  Jacobi.handle().opencl_handle(),</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#ac040fe4a5f3a3ac02bcc951d6a72837b">get_jacobi_weight</a>())</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  )</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>  P = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(Jacobi, P_tentative);</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>  P.generate_row_block_information();</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span> }</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixT></div>
<div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a91e20dd6018ee25dcd33b6470e853bb6"> 385</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a91e20dd6018ee25dcd33b6470e853bb6">amg_interpol</a>(MatrixT <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  MatrixT & P,</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a> & amg_context,</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a> & tag)</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>  <span class="keywordflow">switch</span> (tag.<a class="code" href="classviennacl_1_1linalg_1_1amg__tag.html#afb4b14cf0b9e99161fa8c1da4647ad0d">get_interpolation_method</a>())</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7a31dbd459c3ba8068280a6ec1bca00482">viennacl::linalg::AMG_INTERPOLATION_METHOD_AGGREGATION</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a6b413f8b82073732453d79e52ccfd0d0">amg_interpol_ag</a> (A, P, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7afcffee5ed6e7ad032a9ffebe615b5932">viennacl::linalg::AMG_INTERPOLATION_METHOD_SMOOTHED_AGGREGATION</a>: <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a95de316ed56d654c3ad747efd1059718">amg_interpol_sa</a> (A, P, amg_context, tag); <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">default</span>: <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Not implemented yet!"</span>);</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="l00399"></a><span class="lineno"> 399</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="l00400"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a94dc6c72abd4d8f08f3c732d620cbf22"> 400</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a94dc6c72abd4d8f08f3c732d620cbf22">assign_to_dense</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="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<NumericT></a> & B)</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> {</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</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="l00404"></a><span class="lineno"> 404</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="l00405"></a><span class="lineno"> 405</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="l00406"></a><span class="lineno"> 406</span>  <span class="stringliteral">"assign_to_dense"</span>);</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</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="l00409"></a><span class="lineno"> 409</span>  viennacl::traits::opencl_handle(B),</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ae601425decc5f1a8763ab5272e9e492f">viennacl::traits::start1</a>(B)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ac53fc8cc9836953dc87aaaaa56f382c2">viennacl::traits::start2</a>(B)),</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a53a39f11907d9098e6f144c87998fe5e">viennacl::traits::stride1</a>(B)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#ace596004f16c075adbfcd329e6c60e91">viennacl::traits::stride2</a>(B)),</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(B)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(B)),</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#aedc426f055f1b4c5d00111cc8a46e50d">viennacl::traits::internal_size1</a>(B)), cl_uint(<a class="code" href="namespaceviennacl_1_1traits.html#a2cd7269b5d00b5ebadab1c4b5a94a7c1">viennacl::traits::internal_size2</a>(B)) ));</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span> }</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a25836429b0c0feb19c17a79eff6ba03e"> 427</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a25836429b0c0feb19c17a79eff6ba03e">smooth_jacobi</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iterations,</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <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="l00429"></a><span class="lineno"> 429</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & x,</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & x_backup,</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & rhs_smooth,</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> weight)</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(x).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.html#a15b4aa71e7adbd510fc482394034b4b1">viennacl::linalg::opencl::kernels::compressed_matrix<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.html">viennacl::linalg::opencl::kernels::compressed_matrix<NumericT>::program_name</a>(), <span class="stringliteral">"jacobi"</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>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<iterations; ++i)</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  x_backup = x;</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</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="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">static_cast<</span><a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a><span class="keyword">></span>(weight),</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  viennacl::traits::opencl_handle(x_backup),</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  viennacl::traits::opencl_handle(x),</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  viennacl::traits::opencl_handle(rhs_smooth),</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">static_cast<</span>cl_uint<span class="keyword">></span>(rhs_smooth.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>())));</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span> }</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span> } <span class="comment">//namespace amg</span></div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span> } <span class="comment">//namespace host_based</span></div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html">viennacl::linalg::opencl::kernels::amg</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for compressed_matrix. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2kernels_2amg_8hpp_source.html#l00346">amg.hpp:346</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="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a4f036d7c290d3314afcb11c2978b2b48"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4f036d7c290d3314afcb11c2978b2b48">viennacl::linalg::opencl::amg::amg_influence</a></div><div class="ttdeci">void amg_influence(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Dispatcher for influence processing. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00082">amg_operations.hpp:82</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html_a37cf475ac353f457a3b14879a1140e14"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#a37cf475ac353f457a3b14879a1140e14">viennacl::linalg::amg_tag::get_coarsening_method</a></div><div class="ttdeci">amg_coarsening_method get_coarsening_method() const </div><div class="ttdoc">Returns the current coarsening strategy. </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00088">amg_base.hpp:88</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a017caeded7340b96a3a6038a9d3fc2be"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a017caeded7340b96a3a6038a9d3fc2be">viennacl::linalg::opencl::amg::amg_influence_trivial</a></div><div class="ttdeci">void amg_influence_trivial(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Routine for taking all connections in the matrix as strong. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00048">amg_operations.hpp:48</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="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="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html">viennacl::linalg::detail::amg::amg_level_context</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00167">amg_base.hpp:167</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a65fae30f881997029e30dc1a822930ec"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a65fae30f881997029e30dc1a822930ec">viennacl::linalg::opencl::amg::amg_coarse_ag</a></div><div class="ttdeci">void amg_coarse_ag(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) coarsening. Partially single-threaded version (VIENNACL_AMG_COARSE_AG) ...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00224">amg_operations.hpp:224</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_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="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="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="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="classviennacl_1_1linalg_1_1amg__tag_html_ac040fe4a5f3a3ac02bcc951d6a72837b"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#ac040fe4a5f3a3ac02bcc951d6a72837b">viennacl::linalg::amg_tag::get_jacobi_weight</a></div><div class="ttdeci">double get_jacobi_weight() const </div><div class="ttdoc">Returns the Jacobi smoother weight (damping). </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00113">amg_base.hpp:113</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="opencl_2kernels_2amg_8hpp_html"><div class="ttname"><a href="opencl_2kernels_2amg_8hpp.html">amg.hpp</a></div><div class="ttdoc">OpenCL kernel file for operations related to algebraic multigrid. </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="namespaceviennacl_1_1linalg_html_a9933216144a64dbd433ec02c95bbfdd7a31dbd459c3ba8068280a6ec1bca00482"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7a31dbd459c3ba8068280a6ec1bca00482">viennacl::linalg::AMG_INTERPOLATION_METHOD_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00057">amg_base.hpp:57</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a6b413f8b82073732453d79e52ccfd0d0"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a6b413f8b82073732453d79e52ccfd0d0">viennacl::linalg::opencl::amg::amg_interpol_ag</a></div><div class="ttdeci">void amg_interpol_ag(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) interpolation. Multi-Threaded! (VIENNACL_INTERPOL_SA) </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00311">amg_operations.hpp:311</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="namespaceviennacl_1_1linalg_html_a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a3ba810acdca541a5eada4560982a645ca0d4c883a9aa8a8514fb260ac404e3c8b">viennacl::linalg::AMG_COARSENING_METHOD_MIS2_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00050">amg_base.hpp:50</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="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="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a94dc6c72abd4d8f08f3c732d620cbf22"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a94dc6c72abd4d8f08f3c732d620cbf22">viennacl::linalg::opencl::amg::assign_to_dense</a></div><div class="ttdeci">void assign_to_dense(viennacl::compressed_matrix< NumericT, AlignmentV > const &A, viennacl::matrix_base< NumericT > &B)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00400">amg_operations.hpp:400</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aa18d10f8a90e38bd9ff43c650fc670ef"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a></div><div class="ttdeci">VectorT prod(std::vector< std::vector< T, A1 >, A2 > const &matrix, VectorT const &vector)</div><div class="ttdef"><b>Definition:</b> <a href="prod_8hpp_source.html#l00102">prod.hpp:102</a></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="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a4308a96c905d5147193b430144f0dc8e"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a4308a96c905d5147193b430144f0dc8e">viennacl::linalg::opencl::amg::enumerate_coarse_points</a></div><div class="ttdeci">void enumerate_coarse_points(viennacl::linalg::detail::amg::amg_level_context &amg_context)</div><div class="ttdoc">Assign IDs to coarse points. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00096">amg_operations.hpp:96</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="namespaceviennacl_1_1linalg_html_a9933216144a64dbd433ec02c95bbfdd7afcffee5ed6e7ad032a9ffebe615b5932"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a9933216144a64dbd433ec02c95bbfdd7afcffee5ed6e7ad032a9ffebe615b5932">viennacl::linalg::AMG_INTERPOLATION_METHOD_SMOOTHED_AGGREGATION</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00058">amg_base.hpp:58</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="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a91e20dd6018ee25dcd33b6470e853bb6"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a91e20dd6018ee25dcd33b6470e853bb6">viennacl::linalg::opencl::amg::amg_interpol</a></div><div class="ttdeci">void amg_interpol(MatrixT const &A, MatrixT &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Dispatcher for building the interpolation matrix. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00385">amg_operations.hpp:385</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_1detail_1_1amg_1_1amg__level__context_html_aac5a6ef480cf58fb8fa490760bb94e35"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aac5a6ef480cf58fb8fa490760bb94e35">viennacl::linalg::detail::amg::amg_level_context::num_coarse_</a></div><div class="ttdeci">unsigned int num_coarse_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00199">amg_base.hpp:199</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_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< unsigned int ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_aded9ed5b1a39f79b125965f5b30b7274"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#aded9ed5b1a39f79b125965f5b30b7274">viennacl::linalg::opencl::amg::amg_influence_advanced</a></div><div class="ttdeci">void amg_influence_advanced(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Routine for extracting strongly connected points considering a user-provided threshold value...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00071">amg_operations.hpp:71</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="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="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg_html_a63e6eeb18e0d17d50b57cee6b8cfc268"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html#a63e6eeb18e0d17d50b57cee6b8cfc268">viennacl::linalg::opencl::kernels::amg::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2kernels_2amg_8hpp_source.html#l00353">amg.hpp:353</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html">viennacl::linalg::amg_tag</a></div><div class="ttdoc">A tag for algebraic multigrid (AMG). Used to transport information from the user to the implementatio...</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00064">amg_base.hpp:64</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a25836429b0c0feb19c17a79eff6ba03e"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a25836429b0c0feb19c17a79eff6ba03e">viennacl::linalg::opencl::amg::smooth_jacobi</a></div><div class="ttdeci">void smooth_jacobi(unsigned int iterations, compressed_matrix< NumericT > const &A, vector< NumericT > &x, vector< NumericT > &x_backup, vector< NumericT > const &rhs_smooth, NumericT weight)</div><div class="ttdoc">Jacobi Smoother (OpenCL version) </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00427">amg_operations.hpp:427</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="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="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="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_a8856e6db54e88c12e2ac728b5fcbe1e4"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">viennacl::linalg::detail::amg::amg_level_context::point_types_</a></div><div class="ttdeci">viennacl::vector< unsigned int > point_types_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00197">amg_base.hpp:197</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1amg__tag_html_afb4b14cf0b9e99161fa8c1da4647ad0d"><div class="ttname"><a href="classviennacl_1_1linalg_1_1amg__tag.html#afb4b14cf0b9e99161fa8c1da4647ad0d">viennacl::linalg::amg_tag::get_interpolation_method</a></div><div class="ttdeci">amg_interpolation_method get_interpolation_method() const </div><div class="ttdoc">Returns the current interpolation method. </div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00093">amg_base.hpp:93</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_1_1opencl_1_1amg_html_ac706dd2449d6dc3b39a9e0c67dcb7db0"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#ac706dd2449d6dc3b39a9e0c67dcb7db0">viennacl::linalg::opencl::amg::amg_coarse</a></div><div class="ttdeci">void amg_coarse(InternalT1 &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Calls the right coarsening procedure. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00286">amg_operations.hpp:286</a></div></div>
<div class="ttc" id="amg__base_8hpp_html"><div class="ttname"><a href="amg__base_8hpp.html">amg_base.hpp</a></div><div class="ttdoc">Helper classes and functions for the AMG preconditioner. Experimental. </div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context::POINT_TYPE_COARSE</a></div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00190">amg_base.hpp:190</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_aa647069a4102267171e395fcfd10e7ac"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa647069a4102267171e395fcfd10e7ac">viennacl::linalg::detail::amg::amg_level_context::coarse_id_</a></div><div class="ttdeci">viennacl::vector< unsigned int > coarse_id_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00198">amg_base.hpp:198</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_1detail_1_1amg_1_1amg__level__context_html_a757fe2a72ed0d9eb3649ecda1c83129e"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a757fe2a72ed0d9eb3649ecda1c83129e">viennacl::linalg::detail::amg::amg_level_context::influence_values_</a></div><div class="ttdeci">viennacl::vector< unsigned int > influence_values_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00196">amg_base.hpp:196</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a457784b2df3254e422303c38374cc2be"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a457784b2df3254e422303c38374cc2be">viennacl::linalg::opencl::amg::amg_coarse_ag_stage1_mis2</a></div><div class="ttdeci">void amg_coarse_ag_stage1_mis2(compressed_matrix< NumericT > const &A, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">AG (aggregation based) coarsening, single-threaded version of stage 1. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00128">amg_operations.hpp:128</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_1_1amg_html_a95de316ed56d654c3ad747efd1059718"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl_1_1amg.html#a95de316ed56d654c3ad747efd1059718">viennacl::linalg::opencl::amg::amg_interpol_sa</a></div><div class="ttdeci">void amg_interpol_sa(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &P, viennacl::linalg::detail::amg::amg_level_context &amg_context, viennacl::linalg::amg_tag &tag)</div><div class="ttdoc">Smoothed aggregation interpolation. (VIENNACL_INTERPOL_SA) </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2amg__operations_8hpp_source.html#l00343">amg_operations.hpp:343</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_a262b6f406db2b16b53936b8759f83d05"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a262b6f406db2b16b53936b8759f83d05">viennacl::linalg::detail::amg::amg_level_context::influence_ids_</a></div><div class="ttdeci">viennacl::vector< unsigned int > influence_ids_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00195">amg_base.hpp:195</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="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context_html_ad537babcb184069cc920bfb2140860de"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#ad537babcb184069cc920bfb2140860de">viennacl::linalg::detail::amg::amg_level_context::influence_jumper_</a></div><div class="ttdeci">viennacl::vector< unsigned int > influence_jumper_</div><div class="ttdef"><b>Definition:</b> <a href="amg__base_8hpp_source.html#l00194">amg_base.hpp:194</a></div></div>
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