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<div class="title">ilu_operations.hpp</div> </div>
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<a href="ilu__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_ILU_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_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 "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="range_8hpp.html">viennacl/range.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="predicate_8hpp.html">viennacl/meta/predicate.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</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="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="size_8hpp.html">viennacl/traits/size.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="start_8hpp.html">viennacl/traits/start.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="traits_2handle_8hpp.html">viennacl/traits/handle.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="stride_8hpp.html">viennacl/traits/stride.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="host__based_2ilu__operations_8hpp.html">viennacl/linalg/host_based/ilu_operations.hpp</a>"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor"> #include "<a class="code" href="opencl_2ilu__operations_8hpp.html">viennacl/linalg/opencl/ilu_operations.hpp</a>"</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor"> #include "<a class="code" href="cuda_2ilu__operations_8hpp.html">viennacl/linalg/cuda/ilu_operations.hpp</a>"</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#afe38139ef1b1fa4581104998c73ec424"> 56</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#afe38139ef1b1fa4581104998c73ec424">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="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L)</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(A).get_active_handle_id())</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a0a1fdd6297eb7cb3e16bf3f8e3c40a9c">viennacl::linalg::host_based::extract_L</a>(A, L);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a7edd26f05bd40c62f6b8a875c389b244">viennacl::linalg::opencl::extract_L</a>(A, L);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#af63419aa2771884bf4d6f1a6f843e750">viennacl::linalg::cuda::extract_L</a>(A, L);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ad3d5695fc60367c6d3240ba6d693c015"> 87</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#ad3d5695fc60367c6d3240ba6d693c015">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="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L)</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="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(A).get_active_handle_id())</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a7e16e276469465fedaa8cd9ed320d2d6">viennacl::linalg::host_based::icc_scale</a>(A, L);</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a36411baaa661bc6fd36414c4b4ff7207">viennacl::linalg::opencl::icc_scale</a>(A, L);</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a843c6c44efd5833b75e15070c8059b9b">viennacl::linalg::cuda::icc_scale</a>(A, L);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a15fb87042a449e9544121d6f3e004fd0"> 121</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a15fb87042a449e9544121d6f3e004fd0">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="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & aij_L)</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> {</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(L).get_active_handle_id())</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae1d8813936d6b55042e67d8650a4844b">viennacl::linalg::host_based::icc_chow_patel_sweep</a>(L, aij_L);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ad509a40299ee8a22ee124ac9fca09cb3">viennacl::linalg::opencl::icc_chow_patel_sweep</a>(L, aij_L);</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a3f21c8c5c2b12a1ac9ad6539af7c23f9">viennacl::linalg::cuda::icc_chow_patel_sweep</a>(L, aij_L);</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</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> </div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a61379d44e4a0d7a05f0b327424796ca1"> 156</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a61379d44e4a0d7a05f0b327424796ca1">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="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U)</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="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(A).get_active_handle_id())</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a771c158197c1a0a759d7652e6cb7dd24">viennacl::linalg::host_based::extract_LU</a>(A, L, U);</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a51f0b4acf575c8237c7e986ec2cf17cf">viennacl::linalg::opencl::extract_LU</a>(A, L, U);</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a35f68b16b73447777974228524571671">viennacl::linalg::cuda::extract_LU</a>(A, L, U);</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> }</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#aa9dd52d566f9dbb5fad53131f294fd6e"> 188</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#aa9dd52d566f9dbb5fad53131f294fd6e">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="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U)</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>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(A).get_active_handle_id())</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">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a11bda8b240a14e6bfbc9739a659e4814">viennacl::linalg::host_based::ilu_scale</a>(A, L, U);</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a33cf95ba34e609c741dea02cb2ff0b85">viennacl::linalg::opencl::ilu_scale</a>(A, L, U);</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a2bee3cbeb95e6d60c4b6cb1ac9d47150">viennacl::linalg::cuda::ilu_scale</a>(A, L, U);</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> }</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a6ba9a2427b8985f9e6f8cb507346df5c"> 220</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a6ba9a2427b8985f9e6f8cb507346df5c">ilu_transpose</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="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & B)</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> {</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> orig_ctx = <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A);</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> cpu_ctx(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>);</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  (void)orig_ctx;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  (void)cpu_ctx;</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> A_host(0, 0, 0, cpu_ctx);</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  (void)A_host;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(A).<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>())</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a77bcb1368a1cc1db67afbb4885b99a20">viennacl::linalg::host_based::ilu_transpose</a>(A, B);</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  A_host = A;</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">switch_memory_context</a>(cpu_ctx);</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a77bcb1368a1cc1db67afbb4885b99a20">viennacl::linalg::host_based::ilu_transpose</a>(A_host, B);</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">switch_memory_context</a>(orig_ctx);</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  A_host = A;</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">switch_memory_context</a>(cpu_ctx);</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a77bcb1368a1cc1db67afbb4885b99a20">viennacl::linalg::host_based::ilu_transpose</a>(A_host, B);</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  B.<a class="code" href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">switch_memory_context</a>(orig_ctx);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  }</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> }</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00272"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a81ab7c38b6358aa7c3b71b4a0bb4b55f"> 272</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a81ab7c38b6358aa7c3b71b4a0bb4b55f">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="l00273"></a><span class="lineno"> 273</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="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT></a> & U_trans,</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</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="l00276"></a><span class="lineno"> 276</span> {</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(L).get_active_handle_id())</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>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae6fcf291bfdfdc85c5d5f706744bccc8">viennacl::linalg::host_based::ilu_chow_patel_sweep</a>(L, aij_L, U_trans, aij_U_trans);</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#aea862854adfe64ffb7cd1fdda6c47d76">viennacl::linalg::opencl::ilu_chow_patel_sweep</a>(L, aij_L, U_trans, aij_U_trans);</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a923a391a5c8d4df9ece420414c686dc3">viennacl::linalg::cuda::ilu_chow_patel_sweep</a>(L, aij_L, U_trans, aij_U_trans);</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> }</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ad9f852e45ca5d5a753db43033bf4444b"> 305</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#ad9f852e45ca5d5a753db43033bf4444b">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="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & diag_R)</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> {</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(R).get_active_handle_id())</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  {</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a1cfab6e4c77a90e931c87e0d992656d8">viennacl::linalg::host_based::ilu_form_neumann_matrix</a>(R, diag_R);</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a885c9962160532bc86cc659434029550">viennacl::linalg::opencl::ilu_form_neumann_matrix</a>(R, diag_R);</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#afbc9d399fc68a445146d319bcca2f348">viennacl::linalg::cuda::ilu_form_neumann_matrix</a>(R, diag_R);</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</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> }</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </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> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="classviennacl_1_1memory__exception_html"><div class="ttname"><a href="classviennacl_1_1memory__exception.html">viennacl::memory_exception</a></div><div class="ttdoc">Exception class in case of memory errors. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00572">forwards.h:572</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="start_8hpp_html"><div class="ttname"><a href="start_8hpp.html">start.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL start index handle from a vector, a matrix, an expression etc...</div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_aa19a80e2090dbdc953d658b1277221c0"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#aa19a80e2090dbdc953d658b1277221c0">viennacl::compressed_matrix::switch_memory_context</a></div><div class="ttdeci">void switch_memory_context(viennacl::context new_ctx)</div><div class="ttdoc">Switches the memory context of the matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00957">compressed_matrix.hpp:957</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_afe38139ef1b1fa4581104998c73ec424"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#afe38139ef1b1fa4581104998c73ec424">viennacl::linalg::extract_L</a></div><div class="ttdeci">void extract_L(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdoc">Extracts the lower triangular part L from A. </div><div class="ttdef"><b>Definition:</b> <a href="ilu__operations_8hpp_source.html#l00056">ilu_operations.hpp:56</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a33cf95ba34e609c741dea02cb2ff0b85"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a33cf95ba34e609c741dea02cb2ff0b85">viennacl::linalg::opencl::ilu_scale</a></div><div class="ttdeci">void ilu_scale(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L, compressed_matrix< NumericT > &U)</div><div class="ttdoc">Scales the values extracted from A such that A' = DAD has unit diagonal. Updates values from A in L a...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00186">ilu_operations.hpp:186</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00349">forwards.h:349</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_ae1d8813936d6b55042e67d8650a4844b"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#ae1d8813936d6b55042e67d8650a4844b">viennacl::linalg::host_based::icc_chow_patel_sweep</a></div><div class="ttdeci">void icc_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > &aij_L)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ICC using OpenMP (cf. Algorithm 3 in paper...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2ilu__operations_8hpp_source.html#l00185">ilu_operations.hpp:185</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a81ab7c38b6358aa7c3b71b4a0bb4b55f"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a81ab7c38b6358aa7c3b71b4a0bb4b55f">viennacl::linalg::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 (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="ilu__operations_8hpp_source.html#l00272">ilu_operations.hpp:272</a></div></div>
<div class="ttc" id="opencl_2ilu__operations_8hpp_html"><div class="ttname"><a href="opencl_2ilu__operations_8hpp.html">ilu_operations.hpp</a></div><div class="ttdoc">Implementations of specialized routines for the Chow-Patel parallel ILU preconditioner using OpenCL...</div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="stride_8hpp_html"><div class="ttname"><a href="stride_8hpp.html">stride.hpp</a></div><div class="ttdoc">Determines row and column increments for matrices and matrix proxies. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a771c158197c1a0a759d7652e6cb7dd24"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a771c158197c1a0a759d7652e6cb7dd24">viennacl::linalg::host_based::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="host__based_2ilu__operations_8hpp_source.html#l00258">ilu_operations.hpp:258</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_aea862854adfe64ffb7cd1fdda6c47d76"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#aea862854adfe64ffb7cd1fdda6c47d76">viennacl::linalg::opencl::ilu_chow_patel_sweep</a></div><div class="ttdeci">void ilu_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > const &aij_L, compressed_matrix< NumericT > &U_trans, vector< NumericT > const &aij_U_trans)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ILU using OpenCL (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00213">ilu_operations.hpp:213</a></div></div>
<div class="ttc" id="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="classviennacl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1context.html">viennacl::context</a></div><div class="ttdoc">Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also su...</div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00039">context.hpp:39</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a11bda8b240a14e6bfbc9739a659e4814"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a11bda8b240a14e6bfbc9739a659e4814">viennacl::linalg::host_based::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="host__based_2ilu__operations_8hpp_source.html#l00349">ilu_operations.hpp:349</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a1cfab6e4c77a90e931c87e0d992656d8"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a1cfab6e4c77a90e931c87e0d992656d8">viennacl::linalg::host_based::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="host__based_2ilu__operations_8hpp_source.html#l00626">ilu_operations.hpp:626</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a7edd26f05bd40c62f6b8a875c389b244"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a7edd26f05bd40c62f6b8a875c389b244">viennacl::linalg::opencl::extract_L</a></div><div class="ttdeci">void extract_L(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00051">ilu_operations.hpp:51</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a0a1fdd6297eb7cb3e16bf3f8e3c40a9c"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a0a1fdd6297eb7cb3e16bf3f8e3c40a9c">viennacl::linalg::host_based::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="host__based_2ilu__operations_8hpp_source.html#l00053">ilu_operations.hpp:53</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00347">forwards.h:347</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_html_ad3d5695fc60367c6d3240ba6d693c015"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#ad3d5695fc60367c6d3240ba6d693c015">viennacl::linalg::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="ilu__operations_8hpp_source.html#l00087">ilu_operations.hpp:87</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aa9dd52d566f9dbb5fad53131f294fd6e"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aa9dd52d566f9dbb5fad53131f294fd6e">viennacl::linalg::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="ilu__operations_8hpp_source.html#l00188">ilu_operations.hpp:188</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a61379d44e4a0d7a05f0b327424796ca1"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a61379d44e4a0d7a05f0b327424796ca1">viennacl::linalg::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="ttdoc">Extracts the lower triangular part L and the upper triangular part U from A. </div><div class="ttdef"><b>Definition:</b> <a href="ilu__operations_8hpp_source.html#l00156">ilu_operations.hpp:156</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a7e16e276469465fedaa8cd9ed320d2d6"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a7e16e276469465fedaa8cd9ed320d2d6">viennacl::linalg::host_based::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="host__based_2ilu__operations_8hpp_source.html#l00124">ilu_operations.hpp:124</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< NumericT ></a></div></div>
<div class="ttc" id="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="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="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00348">forwards.h:348</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_ad9f852e45ca5d5a753db43033bf4444b"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#ad9f852e45ca5d5a753db43033bf4444b">viennacl::linalg::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="ttdoc">Extracts the lower triangular part L and the upper triangular part U from A. </div><div class="ttdef"><b>Definition:</b> <a href="ilu__operations_8hpp_source.html#l00305">ilu_operations.hpp:305</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a6ba9a2427b8985f9e6f8cb507346df5c"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a6ba9a2427b8985f9e6f8cb507346df5c">viennacl::linalg::ilu_transpose</a></div><div class="ttdeci">void ilu_transpose(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &B)</div><div class="ttdoc">Transposition B <- A^T, where the aij-vector is permuted in the same way as the value array in A when...</div><div class="ttdef"><b>Definition:</b> <a href="ilu__operations_8hpp_source.html#l00220">ilu_operations.hpp:220</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_1host__based_html_a77bcb1368a1cc1db67afbb4885b99a20"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a77bcb1368a1cc1db67afbb4885b99a20">viennacl::linalg::host_based::ilu_transpose</a></div><div class="ttdeci">void ilu_transpose(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &B)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2ilu__operations_8hpp_source.html#l00431">ilu_operations.hpp:431</a></div></div>
<div class="ttc" id="host__based_2ilu__operations_8hpp_html"><div class="ttname"><a href="host__based_2ilu__operations_8hpp.html">ilu_operations.hpp</a></div><div class="ttdoc">Implementations of specialized routines for the Chow-Patel parallel ILU preconditioner using the host...</div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a15fb87042a449e9544121d6f3e004fd0"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a15fb87042a449e9544121d6f3e004fd0">viennacl::linalg::icc_chow_patel_sweep</a></div><div class="ttdeci">void icc_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > &aij_L)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ICC (cf. Algorithm 3 in paper, but for L rather than U) </div><div class="ttdef"><b>Definition:</b> <a href="ilu__operations_8hpp_source.html#l00121">ilu_operations.hpp:121</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a885c9962160532bc86cc659434029550"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a885c9962160532bc86cc659434029550">viennacl::linalg::opencl::ilu_form_neumann_matrix</a></div><div class="ttdeci">void ilu_form_neumann_matrix(compressed_matrix< NumericT > &R, vector< NumericT > &diag_R)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00243">ilu_operations.hpp:243</a></div></div>
<div class="ttc" id="range_8hpp_html"><div class="ttname"><a href="range_8hpp.html">range.hpp</a></div><div class="ttdoc">Implementation of a range object for use with proxy objects. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ad509a40299ee8a22ee124ac9fca09cb3"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ad509a40299ee8a22ee124ac9fca09cb3">viennacl::linalg::opencl::icc_chow_patel_sweep</a></div><div class="ttdeci">void icc_chow_patel_sweep(compressed_matrix< NumericT > &L, vector< NumericT > const &aij_L)</div><div class="ttdoc">Performs one nonlinear relaxation step in the Chow-Patel-ILU using OpenCL (cf. Algorithm 2 in paper) ...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00116">ilu_operations.hpp:116</a></div></div>
<div class="ttc" id="traits_2handle_8hpp_html"><div class="ttname"><a href="traits_2handle_8hpp.html">handle.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL handle from a vector, a matrix, an expression etc. ...</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="namespaceviennacl_1_1traits_html_ae39853b7f291a697e119a139439178fb"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a></div><div class="ttdeci">viennacl::backend::mem_handle & handle(T &obj)</div><div class="ttdoc">Returns the generic memory handle of an object. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2handle_8hpp_source.html#l00041">handle.hpp:41</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a51f0b4acf575c8237c7e986ec2cf17cf"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a51f0b4acf575c8237c7e986ec2cf17cf">viennacl::linalg::opencl::extract_LU</a></div><div class="ttdeci">void extract_LU(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L, compressed_matrix< NumericT > &U)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00137">ilu_operations.hpp:137</a></div></div>
<div class="ttc" id="cuda_2ilu__operations_8hpp_html"><div class="ttname"><a href="cuda_2ilu__operations_8hpp.html">ilu_operations.hpp</a></div><div class="ttdoc">Implementations of specialized routines for the Chow-Patel parallel ILU preconditioner using CUDA...</div></div>
<div class="ttc" id="scalar_8hpp_html"><div class="ttname"><a href="scalar_8hpp.html">scalar.hpp</a></div><div class="ttdoc">Implementation of the ViennaCL scalar class. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a36411baaa661bc6fd36414c4b4ff7207"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a36411baaa661bc6fd36414c4b4ff7207">viennacl::linalg::opencl::icc_scale</a></div><div class="ttdeci">void icc_scale(compressed_matrix< NumericT > const &A, compressed_matrix< NumericT > &L)</div><div class="ttdoc">Scales the values extracted from A such that A' = DAD has unit diagonal. Updates values from A in L a...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2ilu__operations_8hpp_source.html#l00093">ilu_operations.hpp:93</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_ae6fcf291bfdfdc85c5d5f706744bccc8"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#ae6fcf291bfdfdc85c5d5f706744bccc8">viennacl::linalg::host_based::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="host__based_2ilu__operations_8hpp_source.html#l00503">ilu_operations.hpp:503</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="classviennacl_1_1backend_1_1mem__handle_html_a5951aceb881068a77b4af8825b547ea3"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">viennacl::backend::mem_handle::get_active_handle_id</a></div><div class="ttdeci">memory_types get_active_handle_id() const </div><div class="ttdoc">Returns an ID for the currently active memory buffer. Other memory buffers might contain old or no da...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00118">mem_handle.hpp:118</a></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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