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<div class="title">ilu_operations.hpp</div> </div>
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<a href="cuda_2ilu__operations_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_LINALG_CUDA_ILU_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_CUDA_ILU_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the PDF manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <cmath></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <algorithm></span> <span class="comment">//for std::max and std::min</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="predicate_8hpp.html">viennacl/meta/predicate.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="enable__if_8hpp.html">viennacl/meta/enable_if.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="size_8hpp.html">viennacl/traits/size.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="start_8hpp.html">viennacl/traits/start.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="vector__operations_8hpp.html">viennacl/linalg/vector_operations.hpp</a>"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="stride_8hpp.html">viennacl/traits/stride.hpp</a>"</span></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> </div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>cuda</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">template</span><<span class="keyword">typename</span> IndexT> <span class="comment">// to control external linkage</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a74d0c7d19dd49b7ddc22db2edbac879c"> 47</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a74d0c7d19dd49b7ddc22db2edbac879c">extract_L_kernel_1</a>(</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> IndexT * A_row_indices,</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> IndexT * A_col_indices,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A_size1,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * L_row_indices)</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A_size1;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_entries_L = 0;</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j=row_begin; j<row_end; ++j)</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_indices[j];</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">if</span> (col <= <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  ++num_entries_L;</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>  L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = num_entries_L;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a0a88c3d88fef2f96136ea99cd8699918"> 73</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a0a88c3d88fef2f96136ea99cd8699918">extract_L_kernel_2</a>(</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *A_row_indices,</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *A_col_indices,</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *A_elements,</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A_size1,</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *L_row_indices,</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *L_col_indices,</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *L_elements)</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A_size1;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_L = L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_indices[j];</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[j];</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span> (col <= <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  L_col_indices[index_L] = col;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  L_elements[index_L] = value;</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  ++index_L;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</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>  }</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> }</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#af63419aa2771884bf4d6f1a6f843e750"> 107</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#af63419aa2771884bf4d6f1a6f843e750">extract_L</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L)</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>  <span class="comment">//</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Step 1: Count elements in L and U:</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  extract_L_kernel_1<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>())</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  );</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"extract_L_kernel_1"</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>  <span class="comment">//</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Step 2: Exclusive scan on row_buffers:</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> wrapped_L_row_buffer(viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().cuda_handle()), <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1);</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(wrapped_L_row_buffer, wrapped_L_row_buffer);</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(wrapped_L_row_buffer[L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()], <span class="keyword">false</span>);</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Step 3: Write entries</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  extract_L_kernel_2<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  viennacl::cuda_arg<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  viennacl::cuda_arg<NumericT>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>())</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  );</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"extract_L_kernel_2"</span>);</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</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">// extract_L</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#ac5e477bb5cbe036a627d9375b645a587"> 148</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ac5e477bb5cbe036a627d9375b645a587">ilu_scale_kernel_1</a>(</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *A_row_indices,</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *A_col_indices,</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *A_elements,</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A_size1,</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *D_elements)</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A_size1;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</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> row_begin = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</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>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_indices[j];</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> == col)</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  D_elements[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(1) / sqrt(fabs(A_elements[j]));</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  }</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="l00176"></a><span class="lineno"> 176</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#ab88b5273b63c6e0129b8ac34e65554ef"> 177</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ab88b5273b63c6e0129b8ac34e65554ef">ilu_scale_kernel_2</a>(</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *R_row_indices,</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *R_col_indices,</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *R_elements,</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> R_size1,</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *D_elements)</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> {</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < R_size1;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = R_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = R_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> D_row = D_elements[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  R_elements[j] *= D_row * D_elements[R_col_indices[j]];</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a843c6c44efd5833b75e15070c8059b9b"> 203</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a843c6c44efd5833b75e15070c8059b9b">icc_scale</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L)</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> {</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> D(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// fill D:</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  ilu_scale_kernel_1<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  viennacl::cuda_arg<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(D)</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>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_scale_kernel_1"</span>);</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">// scale L:</span></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  ilu_scale_kernel_2<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  viennacl::cuda_arg<NumericT>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  static_cast<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(D)</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  );</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_scale_kernel_1"</span>);</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> }</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4bdf8b8589b985b72398001062144865"> 231</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4bdf8b8589b985b72398001062144865">icc_chow_patel_sweep_kernel</a>(</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *L_row_indices,</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *L_col_indices,</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *L_elements,</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *L_backup,</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> L_size1,</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *aij_L)</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < L_size1;</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</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">// update L:</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_Li_start = L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_Li_end = L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> + 1];</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = row_Li_start; i < row_Li_end; ++i)</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = L_col_indices[i];</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_Lj_start = L_row_indices[col];</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_Lj_end = L_row_indices[col + 1];</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// compute \sum_{k=1}^{j-1} l_ik u_kj</span></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_Lj = row_Lj_start;</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_Lj = L_col_indices[index_Lj];</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> s = aij_L[i];</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_Li = row_Li_start; index_Li < i; ++index_Li)</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_Li = L_col_indices[index_Li];</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="comment">// find element in U</span></div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">while</span> (col_Lj < col_Li)</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>  ++index_Lj;</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  col_Lj = L_col_indices[index_Lj];</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">if</span> (col_Lj == col_Li)</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  s -= L_backup[index_Li] * L_backup[index_Lj];</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>  <span class="comment">// update l_ij:</span></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  L_elements[i] = (<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> == col) ? sqrt(s) : (s / L_backup[row_Lj_end - 1]); <span class="comment">// diagonal element is last entry in U</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="l00279"></a><span class="lineno"> 279</span>  }</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> }</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a3f21c8c5c2b12a1ac9ad6539af7c23f9"> 285</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a3f21c8c5c2b12a1ac9ad6539af7c23f9">icc_chow_patel_sweep</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & aij_L)</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> {</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> L_backup;</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(L_backup, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(L));</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), L_backup, 0, 0, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>());</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  icc_chow_patel_sweep_kernel<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  viennacl::cuda_arg<NumericT>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  viennacl::cuda_arg<NumericT>(L_backup),</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</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>  viennacl::cuda_arg<NumericT>(aij_L.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>())</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  );</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"icc_chow_patel_sweep_kernel"</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="l00303"></a><span class="lineno"> 303</span> </div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="keyword">template</span><<span class="keyword">typename</span> IndexT> <span class="comment">// to control external linkage</span></div>
<div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a71c01165d016b79a0ab22bd55f6c8a6d"> 308</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a71c01165d016b79a0ab22bd55f6c8a6d">extract_LU_kernel_1</a>(</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> IndexT * A_row_indices,</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">const</span> IndexT * A_col_indices,</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A_size1,</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * L_row_indices,</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * U_row_indices)</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> {</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A_size1;</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_entries_L = 0;</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_entries_U = 0;</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j=row_begin; j<row_end; ++j)</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  {</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_indices[j];</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">if</span> (col <= <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  ++num_entries_L;</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">if</span> (col >= <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  ++num_entries_U;</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="l00335"></a><span class="lineno"> 335</span>  L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = num_entries_L;</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  U_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = num_entries_U;</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8aae1895cca9678de3909e2322fd622d"> 341</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8aae1895cca9678de3909e2322fd622d">extract_LU_kernel_2</a>(</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *A_row_indices,</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *A_col_indices,</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *A_elements,</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> A_size1,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *L_row_indices,</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *L_col_indices,</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *L_elements,</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *U_row_indices,</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *U_col_indices,</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *U_elements)</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> {</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < A_size1;</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = A_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_L = L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_U = U_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_indices[j];</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> value = A_elements[j];</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">if</span> (col <= <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</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>  L_col_indices[index_L] = col;</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  L_elements[index_L] = value;</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  ++index_L;</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</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>  <span class="keywordflow">if</span> (col >= <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  U_col_indices[index_U] = col;</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  U_elements[index_U] = value;</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  ++index_U;</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a35f68b16b73447777974228524571671"> 387</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a35f68b16b73447777974228524571671">extract_LU</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U)</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> {</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// Step 1: Count elements in L and U:</span></div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  extract_LU_kernel_1<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  viennacl::cuda_arg<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>())</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  );</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"extract_LU_kernel_1"</span>);</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Step 2: Exclusive scan on row_buffers:</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> wrapped_L_row_buffer(viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()), <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1);</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(wrapped_L_row_buffer, wrapped_L_row_buffer);</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(wrapped_L_row_buffer[L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()], <span class="keyword">false</span>);</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<unsigned int></a> wrapped_U_row_buffer(viennacl::cuda_arg<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()), <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>, A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() + 1);</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a>(wrapped_U_row_buffer, wrapped_U_row_buffer);</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  U.<a class="code" href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">reserve</a>(wrapped_U_row_buffer[U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()], <span class="keyword">false</span>);</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="comment">// Step 3: Write entries</span></div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  extract_LU_kernel_2<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  viennacl::cuda_arg<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  viennacl::cuda_arg<NumericT>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  viennacl::cuda_arg<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  viennacl::cuda_arg<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  viennacl::cuda_arg<NumericT>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>())</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  );</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"extract_LU_kernel_2"</span>);</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#ab5922a97b73b869fbeeb6a2fa40e3b06">generate_row_block_information</a>();</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// Note: block information for U will be generated after transposition</span></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> } <span class="comment">// extract_LU</span></div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00438"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a2bee3cbeb95e6d60c4b6cb1ac9d47150"> 438</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a2bee3cbeb95e6d60c4b6cb1ac9d47150">ilu_scale</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U)</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="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> D(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="comment">// fill D:</span></div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  ilu_scale_kernel_1<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  viennacl::cuda_arg<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  viennacl::cuda_arg<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  static_cast<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  viennacl::cuda_arg<NumericT>(D.handle())</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>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_scale_kernel_1"</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">// scale L:</span></div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  ilu_scale_kernel_2<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  viennacl::cuda_arg<NumericT>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  static_cast<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  viennacl::cuda_arg<NumericT>(D.handle())</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  );</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_scale_kernel_2"</span>);</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="comment">// scale U:</span></div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  ilu_scale_kernel_2<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  viennacl::cuda_arg<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  viennacl::cuda_arg<NumericT>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  static_cast<unsigned int>(U.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  viennacl::cuda_arg<NumericT>(D.handle())</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  );</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_scale_kernel_2"</span>);</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span> }</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00476"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#aa460b0b5d0c9faa09cb18c5ecaf6ddf9"> 476</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#aa460b0b5d0c9faa09cb18c5ecaf6ddf9">ilu_chow_patel_sweep_kernel</a>(</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *L_row_indices,</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *L_col_indices,</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *L_elements,</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *L_backup,</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> L_size1,</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span> </div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *aij_L,</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *U_trans_row_indices,</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *U_trans_col_indices,</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *U_trans_elements,</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *U_trans_backup,</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> *aij_U_trans)</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span> {</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < L_size1;</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="comment">// update L:</span></div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_L_start = L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_L_end = L_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> + 1];</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_L_start; j < row_L_end; ++j)</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  {</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = L_col_indices[j];</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">if</span> (col == <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_U_start = U_trans_row_indices[col];</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_U_end = U_trans_row_indices[col + 1];</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="comment">// compute \sum_{k=1}^{j-1} l_ik u_kj</span></div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_U = row_U_start;</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_U = (index_U < row_U_end) ? U_trans_col_indices[index_U] : L_size1;</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">sum</a> = 0;</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = row_L_start; k < j; ++k)</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_L = L_col_indices[k];</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span> </div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="comment">// find element in U</span></div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">while</span> (col_U < col_L)</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  {</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  ++index_U;</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  col_U = U_trans_col_indices[index_U];</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">if</span> (col_U == col_L)</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  sum += L_backup[k] * U_trans_backup[index_U];</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span> </div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="comment">// update l_ij:</span></div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  L_elements[j] = (aij_L[j] - <a class="code" href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">sum</a>) / U_trans_backup[row_U_end - 1]; <span class="comment">// diagonal element is last entry in U</span></div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  }</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> </div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="comment">// update U:</span></div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_U_start = U_trans_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_U_end = U_trans_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> + 1];</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_U_start; j < row_U_end; ++j)</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  {</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = U_trans_col_indices[j];</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  row_L_start = L_row_indices[col];</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  row_L_end = L_row_indices[col + 1];</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">// compute \sum_{k=1}^{j-1} l_ik u_kj</span></div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index_L = row_L_start;</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_L = (index_L < row_L_end) ? L_col_indices[index_L] : L_size1;</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">sum</a> = 0;</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = row_U_start; k < j; ++k)</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  {</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_U = U_trans_col_indices[k];</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// find element in L</span></div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">while</span> (col_L < col_U)</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  {</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  ++index_L;</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  col_L = L_col_indices[index_L];</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">if</span> (col_U == col_L)</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  sum += L_backup[index_L] * U_trans_backup[k];</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="comment">// update u_ij:</span></div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  U_trans_elements[j] = aij_U_trans[j] - <a class="code" href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">sum</a>;</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  }</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span> }</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a923a391a5c8d4df9ece420414c686dc3"> 576</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a923a391a5c8d4df9ece420414c686dc3">ilu_chow_patel_sweep</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & aij_L,</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U_trans,</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> <span class="keyword">const</span> & aij_U_trans)</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span> {</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> L_backup;</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(L_backup, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(L));</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), L_backup, 0, 0, L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>());</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> U_backup;</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(U_backup, U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(U_trans));</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a>(U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>(), U_backup, 0, 0, U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>());</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  ilu_chow_patel_sweep_kernel<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  viennacl::cuda_arg<unsigned int>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  viennacl::cuda_arg<NumericT>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  viennacl::cuda_arg<NumericT>(L_backup),</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(L.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  viennacl::cuda_arg<NumericT>(aij_L.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>()),</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span> </div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  viennacl::cuda_arg<unsigned int>(U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  viennacl::cuda_arg<unsigned int>(U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  viennacl::cuda_arg<NumericT>(U_trans.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  viennacl::cuda_arg<NumericT>(U_backup),</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  viennacl::cuda_arg<NumericT>(aij_U_trans.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>())</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  );</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_chow_patel_sweep_kernel"</span>);</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> </div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span> }</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00611"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4aa63fe5cdaad018cc8ac639f98aa494"> 611</a></span> __global__ <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4aa63fe5cdaad018cc8ac639f98aa494">ilu_form_neumann_matrix_kernel</a>(</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *R_row_indices,</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> *R_col_indices,</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *R_elements,</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> R_size1,</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *D_elements)</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span> {</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = blockDim.x * blockIdx.x + threadIdx.x;</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < R_size1;</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> += gridDim.x * blockDim.x)</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  {</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_begin = R_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_end = R_row_indices[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span> </div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="comment">// part 1: extract diagonal entry</span></div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a> = 0;</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  {</div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = R_col_indices[j];</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">if</span> (col == <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  diag = R_elements[j];</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  R_elements[j] = 0; <span class="comment">// (I - D^{-1}R)</span></div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  }</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  }</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  D_elements[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>] = <a class="code" href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">diag</a>;</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span> </div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="comment">// part2: scale</span></div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = row_begin; j < row_end; ++j)</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  R_elements[j] /= -diag;</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span> }</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span> </div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span> </div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00649"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#afbc9d399fc68a445146d319bcca2f348"> 649</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#afbc9d399fc68a445146d319bcca2f348">ilu_form_neumann_matrix</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & R,</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & diag_R)</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span> {</div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  ilu_form_neumann_matrix_kernel<<<128, 128>>>(viennacl::cuda_arg<unsigned int>(R.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>()),</div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  viennacl::cuda_arg<unsigned int>(R.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>()),</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  viennacl::cuda_arg<NumericT>(R.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>()),</div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  static_cast<unsigned int>(R.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()),</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  viennacl::cuda_arg<NumericT>(diag_R.<a class="code" href="classviennacl_1_1vector__base.html#a64e98aea5aa298ad63e3832a04c19648">handle</a>())</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  );</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"ilu_form_neumann_matrix_kernel"</span>);</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span> }</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span> } <span class="comment">//namespace host_based</span></div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span> </div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_aa460b0b5d0c9faa09cb18c5ecaf6ddf9"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#aa460b0b5d0c9faa09cb18c5ecaf6ddf9">viennacl::linalg::cuda::ilu_chow_patel_sweep_kernel</a></div><div class="ttdeci">__global__ void ilu_chow_patel_sweep_kernel(unsigned int const *L_row_indices, unsigned int const *L_col_indices, NumericT *L_elements, NumericT const *L_backup, unsigned int L_size1, NumericT const *aij_L, unsigned int const *U_trans_row_indices, unsigned int const *U_trans_col_indices, NumericT *U_trans_elements, NumericT const *U_trans_backup, NumericT const *aij_U_trans)</div><div class="ttdoc">CUDA kernel for one Chow-Patel-ILU sweep. </div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00476">ilu_operations.hpp:476</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a4117795095db49147ba7305d3e0a1af5"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a4117795095db49147ba7305d3e0a1af5">viennacl::linalg::sum</a></div><div class="ttdeci">viennacl::scalar_expression< const viennacl::vector_base< NumericT >, const viennacl::vector_base< NumericT >, viennacl::op_sum > sum(viennacl::vector_base< NumericT > const &x)</div><div class="ttdoc">User interface function for computing the sum of all elements of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="sum_8hpp_source.html#l00045">sum.hpp:45</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a8aae1895cca9678de3909e2322fd622d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a8aae1895cca9678de3909e2322fd622d">viennacl::linalg::cuda::extract_LU_kernel_2</a></div><div class="ttdeci">__global__ void extract_LU_kernel_2(unsigned int const *A_row_indices, unsigned int const *A_col_indices, NumericT const *A_elements, unsigned int A_size1, unsigned int const *L_row_indices, unsigned int *L_col_indices, NumericT *L_elements, unsigned int const *U_row_indices, unsigned int *U_col_indices, NumericT *U_elements)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00341">ilu_operations.hpp:341</a></div></div>
<div class="ttc" id="size_8hpp_html"><div class="ttname"><a href="size_8hpp.html">size.hpp</a></div><div class="ttdoc">Generic size and resize functionality for different vector and matrix types. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a35f68b16b73447777974228524571671"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a35f68b16b73447777974228524571671">viennacl::linalg::cuda::extract_LU</a></div><div class="ttdeci">void extract_LU(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L, compressed_matrix< NumericT > &U)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00387">ilu_operations.hpp:387</a></div></div>
<div class="ttc" id="vector__operations_8hpp_html"><div class="ttname"><a href="vector__operations_8hpp.html">vector_operations.hpp</a></div><div class="ttdoc">Implementations of vector operations. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a463cf1739f9cdd387aa185cb574db183"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">viennacl::compressed_matrix::size1</a></div><div class="ttdeci">const vcl_size_t & size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00927">compressed_matrix.hpp:927</a></div></div>
<div class="ttc" id="start_8hpp_html"><div class="ttname"><a href="start_8hpp.html">start.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL start index handle from a vector, a matrix, an expression etc...</div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a4aa63fe5cdaad018cc8ac639f98aa494"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a4aa63fe5cdaad018cc8ac639f98aa494">viennacl::linalg::cuda::ilu_form_neumann_matrix_kernel</a></div><div class="ttdeci">__global__ void ilu_form_neumann_matrix_kernel(unsigned int const *R_row_indices, unsigned int const *R_col_indices, NumericT *R_elements, unsigned int R_size1, NumericT *D_elements)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00611">ilu_operations.hpp:611</a></div></div>
<div class="ttc" id="stride_8hpp_html"><div class="ttname"><a href="stride_8hpp.html">stride.hpp</a></div><div class="ttdoc">Determines row and column increments for matrices and matrix proxies. </div></div>
<div class="ttc" id="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_1_1cuda_html_af63419aa2771884bf4d6f1a6f843e750"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#af63419aa2771884bf4d6f1a6f843e750">viennacl::linalg::cuda::extract_L</a></div><div class="ttdeci">void extract_L(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00107">ilu_operations.hpp:107</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_afbc9d399fc68a445146d319bcca2f348"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#afbc9d399fc68a445146d319bcca2f348">viennacl::linalg::cuda::ilu_form_neumann_matrix</a></div><div class="ttdeci">void ilu_form_neumann_matrix(compressed_matrix< NumericT > &R, vector< NumericT > &diag_R)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00649">ilu_operations.hpp:649</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="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_1cuda_html_a0a88c3d88fef2f96136ea99cd8699918"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a0a88c3d88fef2f96136ea99cd8699918">viennacl::linalg::cuda::extract_L_kernel_2</a></div><div class="ttdeci">__global__ void extract_L_kernel_2(unsigned int const *A_row_indices, unsigned int const *A_col_indices, NumericT const *A_elements, unsigned int A_size1, unsigned int const *L_row_indices, unsigned int *L_col_indices, NumericT *L_elements)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00073">ilu_operations.hpp:73</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00350">forwards.h:350</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ac5e477bb5cbe036a627d9375b645a587"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ac5e477bb5cbe036a627d9375b645a587">viennacl::linalg::cuda::ilu_scale_kernel_1</a></div><div class="ttdeci">__global__ void ilu_scale_kernel_1(unsigned int const *A_row_indices, unsigned int const *A_col_indices, NumericT const *A_elements, unsigned int A_size1, NumericT *D_elements)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00148">ilu_operations.hpp:148</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a74d0c7d19dd49b7ddc22db2edbac879c"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a74d0c7d19dd49b7ddc22db2edbac879c">viennacl::linalg::cuda::extract_L_kernel_1</a></div><div class="ttdeci">__global__ void extract_L_kernel_1(const IndexT *A_row_indices, const IndexT *A_col_indices, unsigned int A_size1, unsigned int *L_row_indices)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00047">ilu_operations.hpp:47</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_html_a507d2ac469c79997f2bb6e82b37b7483"><div class="ttname"><a href="namespaceviennacl.html#a507d2ac469c79997f2bb6e82b37b7483">viennacl::diag</a></div><div class="ttdeci">vector_expression< const matrix_base< NumericT >, const int, op_matrix_diag > diag(const matrix_base< NumericT > &A, int k=0)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00895">matrix.hpp:895</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a2bee3cbeb95e6d60c4b6cb1ac9d47150"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a2bee3cbeb95e6d60c4b6cb1ac9d47150">viennacl::linalg::cuda::ilu_scale</a></div><div class="ttdeci">void ilu_scale(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L, compressed_matrix< NumericT > &U)</div><div class="ttdoc">Scales the values extracted from A such that A' = DAD has unit diagonal. Updates values from A in L a...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00438">ilu_operations.hpp:438</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a0a574e6cd04ca0e42298b4ab845700e4"><div class="ttname"><a href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">viennacl::row</a></div><div class="ttdeci">vector_expression< const matrix_base< NumericT, F >, const unsigned int, op_row > row(const matrix_base< NumericT, F > &A, unsigned int i)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00910">matrix.hpp:910</a></div></div>
<div class="ttc" id="predicate_8hpp_html"><div class="ttname"><a href="predicate_8hpp.html">predicate.hpp</a></div><div class="ttdoc">All the predicates used within ViennaCL. Checks for expressions to be vectors, etc. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_aba08ea5f9d1c12dff5da58e0dff7a6fe"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#aba08ea5f9d1c12dff5da58e0dff7a6fe">viennacl::compressed_matrix::reserve</a></div><div class="ttdeci">void reserve(vcl_size_t new_nonzeros, bool preserve=true)</div><div class="ttdoc">Allocate memory for the supplied number of nonzeros in the matrix. Old values are preserved...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00794">compressed_matrix.hpp:794</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a39a91fd7aa68ebf64bd7bfa409732ec0"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a39a91fd7aa68ebf64bd7bfa409732ec0">viennacl::backend::memory_copy</a></div><div class="ttdeci">void memory_copy(mem_handle const &src_buffer, mem_handle &dst_buffer, vcl_size_t src_offset, vcl_size_t dst_offset, vcl_size_t bytes_to_copy)</div><div class="ttdoc">Copies 'bytes_to_copy' bytes from address 'src_buffer + src_offset' to memory starting at address 'ds...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00140">memory.hpp:140</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a843c6c44efd5833b75e15070c8059b9b"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a843c6c44efd5833b75e15070c8059b9b">viennacl::linalg::cuda::icc_scale</a></div><div class="ttdeci">void icc_scale(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdoc">Scales the values extracted from A such that A' = DAD has unit diagonal. Updates values from A in L a...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00203">ilu_operations.hpp:203</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_1linalg_1_1cuda_html_a4bdf8b8589b985b72398001062144865"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a4bdf8b8589b985b72398001062144865">viennacl::linalg::cuda::icc_chow_patel_sweep_kernel</a></div><div class="ttdeci">__global__ void icc_chow_patel_sweep_kernel(unsigned int const *L_row_indices, unsigned int const *L_col_indices, NumericT *L_elements, NumericT const *L_backup, unsigned int L_size1, NumericT const *aij_L)</div><div class="ttdoc">CUDA kernel for one Chow-Patel-ICC sweep. </div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00231">ilu_operations.hpp:231</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ab88b5273b63c6e0129b8ac34e65554ef"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ab88b5273b63c6e0129b8ac34e65554ef">viennacl::linalg::cuda::ilu_scale_kernel_2</a></div><div class="ttdeci">__global__ void ilu_scale_kernel_2(unsigned int const *R_row_indices, unsigned int const *R_col_indices, NumericT *R_elements, unsigned int R_size1, NumericT *D_elements)</div><div class="ttdoc">Scales values in a matrix such that output = D * input * D, where D is a diagonal matrix (only the di...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00177">ilu_operations.hpp:177</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a></div><div class="ttdoc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00089">mem_handle.hpp:89</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_ac8373f0d899b89c843e14de4cb7a1c4a"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">viennacl::backend::mem_handle::raw_size</a></div><div class="ttdeci">vcl_size_t raw_size() const </div><div class="ttdoc">Returns the number of bytes of the currently active buffer. </div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00230">mem_handle.hpp:230</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a7f1b00757223e6feecf70a8657a9f096"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a7f1b00757223e6feecf70a8657a9f096">viennacl::linalg::exclusive_scan</a></div><div class="ttdeci">void exclusive_scan(vector_base< NumericT > &vec1, vector_base< NumericT > &vec2)</div><div class="ttdoc">This function implements an exclusive scan. </div><div class="ttdef"><b>Definition:</b> <a href="vector__operations_8hpp_source.html#l01240">vector_operations.hpp:1240</a></div></div>
<div class="ttc" id="linalg_2cuda_2common_8hpp_html_acdb31f22f4d1e12f1c2a27d4c4aa6865"><div class="ttname"><a href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a></div><div class="ttdeci">#define VIENNACL_CUDA_LAST_ERROR_CHECK(message)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2cuda_2common_8hpp_source.html#l00030">common.hpp:30</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a1499f19634964e2c7c8aeeefc6206126"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a></div><div class="ttdeci">void memory_create(mem_handle &handle, vcl_size_t size_in_bytes, viennacl::context const &ctx, const void *host_ptr=NULL)</div><div class="ttdoc">Creates an array of the specified size. If the second argument is provided, the buffer is initialized...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00087">memory.hpp:87</a></div></div>
<div class="ttc" id="namespaceviennacl_html_ae7d5db0c2c91be75218db5b52c4d13da"><div class="ttname"><a href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a></div><div class="ttdeci">NumericT * cuda_arg(scalar< NumericT > &obj)</div><div class="ttdoc">Convenience helper function for extracting the CUDA handle from a ViennaCL scalar. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2cuda_2common_8hpp_source.html#l00039">common.hpp:39</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a923a391a5c8d4df9ece420414c686dc3"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a923a391a5c8d4df9ece420414c686dc3">viennacl::linalg::cuda::ilu_chow_patel_sweep</a></div><div class="ttdeci">void ilu_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > const &aij_L, compressed_matrix< NumericT > &U_trans, vector< NumericT > const &aij_U_trans)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ILU using OpenMP (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00576">ilu_operations.hpp:576</a></div></div>
<div class="ttc" id="scalar_8hpp_html"><div class="ttname"><a href="scalar_8hpp.html">scalar.hpp</a></div><div class="ttdoc">Implementation of the ViennaCL scalar class. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a71c01165d016b79a0ab22bd55f6c8a6d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a71c01165d016b79a0ab22bd55f6c8a6d">viennacl::linalg::cuda::extract_LU_kernel_1</a></div><div class="ttdeci">__global__ void extract_LU_kernel_1(const IndexT *A_row_indices, const IndexT *A_col_indices, unsigned int A_size1, unsigned int *L_row_indices, unsigned int *U_row_indices)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00308">ilu_operations.hpp:308</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="enable__if_8hpp_html"><div class="ttname"><a href="enable__if_8hpp.html">enable_if.hpp</a></div><div class="ttdoc">Simple enable-if variant that uses the SFINAE pattern. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a3f21c8c5c2b12a1ac9ad6539af7c23f9"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a3f21c8c5c2b12a1ac9ad6539af7c23f9">viennacl::linalg::cuda::icc_chow_patel_sweep</a></div><div class="ttdeci">void icc_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > const &aij_L)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ILU using OpenMP (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2ilu__operations_8hpp_source.html#l00285">ilu_operations.hpp:285</a></div></div>
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