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<div class="title">bisect_kernel_small.hpp</div> </div>
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<a href="bisect__kernel__small_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_BISECT_KERNEL_SMALL_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_CUDA_BISECT_KERNEL_SMALL_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment">// includes, project</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="config_8hpp.html">viennacl/linalg/detail/bisect/config.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="linalg_2detail_2bisect_2util_8hpp.html">viennacl/linalg/detail/bisect/util.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment">// additional kernel</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="bisect__util_8hpp.html">viennacl/linalg/cuda/bisect_util.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>cuda</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> __global__</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#ae1ae935d24431741a0bde81526ff1e03"> 61</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ae1ae935d24431741a0bde81526ff1e03">bisectKernelSmall</a>(<span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_d, <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_s, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * g_left, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_right,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_left_count, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_right_count,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> lg, <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> ug,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> lg_eig_count, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ug_eig_count,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> epsilon</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  )</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// intervals (store left and right because the subdivision tree is in general</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// not dense</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  __shared__ <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> s_left[<a class="code" href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a>];</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  __shared__ <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> s_right[<a class="code" href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a>];</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// number of eigenvalues that are smaller than s_left / s_right</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// (correspondence is realized via indices)</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> s_left_count[<a class="code" href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a>];</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> s_right_count[<a class="code" href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a>];</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="comment">// helper for stream compaction</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  s_compaction_list[<a class="code" href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a> + 1];</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="comment">// state variables for whole block</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// if 0 then compaction of second chunk of child intervals is not necessary</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// (because all intervals had exactly one non-dead child)</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> compact_second_chunk;</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> all_threads_converged;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// number of currently active threads</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active;</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="comment">// number of threads to use for stream compaction</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_compaction;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// helper for exclusive scan</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *s_compaction_list_exc = s_compaction_list + 1;</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> </div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// variables for currently processed interval</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// left and right limit of active interval</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> left = 0.0f;</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> right = 0.0f;</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> left_count = 0;</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> right_count = 0;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// midpoint of active interval</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> mid = 0.0f;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// number of eigenvalues smaller then mid</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mid_count = 0;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// affected from compaction</span></div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> is_active_second = 0;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  s_compaction_list[threadIdx.x] = 0;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  s_left[threadIdx.x] = 0;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  s_right[threadIdx.x] = 0;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  s_left_count[threadIdx.x] = 0;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  s_right_count[threadIdx.x] = 0;</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>  __syncthreads();</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">// set up initial configuration</span></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">if</span> (0 == threadIdx.x)</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  s_left[0] = lg;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  s_right[0] = ug;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  s_left_count[0] = lg_eig_count;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  s_right_count[0] = ug_eig_count;</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  compact_second_chunk = 0;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  num_threads_active = 1;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  num_threads_compaction = 1;</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// for all active threads read intervals from the last level</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// the number of (worst case) active threads per level l is 2^l</span></div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">while</span> (<span class="keyword">true</span>)</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  all_threads_converged = 1;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  __syncthreads();</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>  is_active_second = 0;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ad7ca33ef6ba189bd07de41dccce1ce61">subdivideActiveIntervalMulti</a>(threadIdx.x,</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  num_threads_active,</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  left, right, left_count, right_count,</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  mid, all_threads_converged);</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  __syncthreads();</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// check if done</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">if</span> (1 == all_threads_converged)</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">break</span>;</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> </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  __syncthreads();</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// compute number of eigenvalues smaller than mid</span></div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">// use all threads for reading the necessary matrix data from global</span></div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// memory</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// use s_left and s_right as scratch space for diagonal and</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// superdiagonal of matrix</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  mid_count = <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ab24a81a05b199c53894e2dcc6f9b54fa">computeNumSmallerEigenvals</a>(g_d, g_s, n, mid,</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  threadIdx.x, num_threads_active,</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  s_left, s_right,</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  (left == right));</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  __syncthreads();</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>  <span class="comment">// store intervals</span></div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// for all threads store the first child interval in a continuous chunk of</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// memory, and the second child interval -- if it exists -- in a second</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// chunk; it is likely that all threads reach convergence up to</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">// \a epsilon at the same level; furthermore, for higher level most / all</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// threads will have only one child, storing the first child compactly will</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// (first) avoid to perform a compaction step on the first chunk, (second)</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// make it for higher levels (when all threads / intervals have</span></div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// exactly one child) unnecessary to perform a compaction of the second</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// chunk</span></div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">if</span> (threadIdx.x < num_threads_active)</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">if</span> (left != right)</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="comment">// store intervals</span></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ae31db36470d0165a7358dad4853ff492">storeNonEmptyIntervals</a>(threadIdx.x, num_threads_active,</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  left, mid, right,</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  left_count, mid_count, right_count,</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  epsilon, compact_second_chunk,</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  s_compaction_list_exc,</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  is_active_second);</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">else</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>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a63d480d679a9c6380f3c9373c419f962">storeIntervalConverged</a>(s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  left, mid, right,</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  left_count, mid_count, right_count,</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  s_compaction_list_exc, compact_second_chunk,</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  num_threads_active,</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  is_active_second);</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  }</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// necessary so that compact_second_chunk is up-to-date</span></div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  __syncthreads();</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// perform compaction of chunk where second children are stored</span></div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// scan of (num_threads_active / 2) elements, thus at most</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// (num_threads_active / 4) threads are needed</span></div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">if</span> (compact_second_chunk > 0)</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a66880730e6885754d21e620a9739ade3">createIndicesCompaction</a>(s_compaction_list_exc, num_threads_compaction);</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a89a2e3afeaf5480586bd14999ec60393">compactIntervals</a>(s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  mid, right, mid_count, right_count,</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  s_compaction_list, num_threads_active,</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  is_active_second);</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> </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  __syncthreads();</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">if</span> (0 == threadIdx.x)</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// update number of active threads with result of reduction</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  num_threads_active += s_compaction_list[num_threads_active];</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>  num_threads_compaction = <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4c8d9251fff091344ae4f64dd6485fe2">ceilPow2</a>(num_threads_active);</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  compact_second_chunk = 0;</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  __syncthreads();</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  __syncthreads();</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// write resulting intervals to global mem</span></div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// for all threads write if they have been converged to an eigenvalue to</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// a separate array</span></div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// at most n valid intervals</span></div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">if</span> (threadIdx.x < n)</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> </div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="comment">// intervals converged so left and right limit are identical</span></div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  g_left[threadIdx.x] = s_left[threadIdx.x];</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// left count is sufficient to have global order</span></div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  g_left_count[threadIdx.x] = s_left_count[threadIdx.x];</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> } <span class="comment">// namespace cuda</span></div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> } <span class="comment">// namespace linalg</span></div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> } <span class="comment">// namespace viennacl</span></div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="preprocessor">#endif // #ifndef _BISECT_KERNEL_SMALL_H_</span></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ae1ae935d24431741a0bde81526ff1e03"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ae1ae935d24431741a0bde81526ff1e03">viennacl::linalg::cuda::bisectKernelSmall</a></div><div class="ttdeci">__global__ void bisectKernelSmall(const NumericT *g_d, const NumericT *g_s, const unsigned int n, NumericT *g_left, NumericT *g_right, unsigned int *g_left_count, unsigned int *g_right_count, const NumericT lg, const NumericT ug, const unsigned int lg_eig_count, const unsigned int ug_eig_count, NumericT epsilon)</div><div class="ttdoc">Bisection to find eigenvalues of a real, symmetric, and tridiagonal matrix. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__small_8hpp_source.html#l00061">bisect_kernel_small.hpp:61</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a66880730e6885754d21e620a9739ade3"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a66880730e6885754d21e620a9739ade3">viennacl::linalg::cuda::createIndicesCompaction</a></div><div class="ttdeci">__device__ void createIndicesCompaction(T *s_compaction_list_exc, unsigned int num_threads_compaction)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00373">bisect_util.hpp:373</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ab24a81a05b199c53894e2dcc6f9b54fa"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ab24a81a05b199c53894e2dcc6f9b54fa">viennacl::linalg::cuda::computeNumSmallerEigenvals</a></div><div class="ttdeci">__device__ unsigned int computeNumSmallerEigenvals(const NumericT *g_d, const NumericT *g_s, const unsigned int n, const NumericT x, const unsigned int tid, const unsigned int num_intervals_active, NumericT *s_d, NumericT *s_s, unsigned int converged)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00177">bisect_util.hpp:177</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ae31db36470d0165a7358dad4853ff492"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ae31db36470d0165a7358dad4853ff492">viennacl::linalg::cuda::storeNonEmptyIntervals</a></div><div class="ttdeci">__device__ void storeNonEmptyIntervals(unsigned int addr, const unsigned int num_threads_active, NumericT *s_left, NumericT *s_right, T *s_left_count, T *s_right_count, NumericT left, NumericT mid, NumericT right, const S left_count, const S mid_count, const S right_count, NumericT precision, unsigned int &compact_second_chunk, T *s_compaction_list_exc, unsigned int &is_active_second)</div><div class="ttdoc">Store all non-empty intervals resulting from the subdivision of the interval currently processed by t...</div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00309">bisect_util.hpp:309</a></div></div>
<div class="ttc" id="linalg_2detail_2bisect_2util_8hpp_html"><div class="ttname"><a href="linalg_2detail_2bisect_2util_8hpp.html">util.hpp</a></div><div class="ttdoc">Utility functions. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a4c8d9251fff091344ae4f64dd6485fe2"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a4c8d9251fff091344ae4f64dd6485fe2">viennacl::linalg::cuda::ceilPow2</a></div><div class="ttdeci">__device__ int ceilPow2(int n)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00066">bisect_util.hpp:66</a></div></div>
<div class="ttc" id="bisect__util_8hpp_html"><div class="ttname"><a href="bisect__util_8hpp.html">bisect_util.hpp</a></div></div>
<div class="ttc" id="config_8hpp_html"><div class="ttname"><a href="config_8hpp.html">config.hpp</a></div><div class="ttdoc">Global configuration parameters. </div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a89a2e3afeaf5480586bd14999ec60393"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a89a2e3afeaf5480586bd14999ec60393">viennacl::linalg::cuda::compactIntervals</a></div><div class="ttdeci">__device__ void compactIntervals(NumericT *s_left, NumericT *s_right, T *s_left_count, T *s_right_count, NumericT mid, NumericT right, unsigned int mid_count, unsigned int right_count, T *s_compaction_list, unsigned int num_threads_active, unsigned int is_active_second)</div><div class="ttdoc">Perform stream compaction for second child intervals. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00440">bisect_util.hpp:440</a></div></div>
<div class="ttc" id="config_8hpp_html_a62bb16be6604cdcfdf2e6e9026876cc7"><div class="ttname"><a href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a></div><div class="ttdeci">#define VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</div><div class="ttdef"><b>Definition:</b> <a href="config_8hpp_source.html#l00038">config.hpp:38</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ad7ca33ef6ba189bd07de41dccce1ce61"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ad7ca33ef6ba189bd07de41dccce1ce61">viennacl::linalg::cuda::subdivideActiveIntervalMulti</a></div><div class="ttdeci">__device__ void subdivideActiveIntervalMulti(const unsigned int tid, NumericT *s_left, NumericT *s_right, T *s_left_count, T *s_right_count, const unsigned int num_threads_active, NumericT &left, NumericT &right, unsigned int &left_count, unsigned int &right_count, NumericT &mid, unsigned int &all_threads_converged)</div><div class="ttdoc">Subdivide interval if active and not already converged. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00529">bisect_util.hpp:529</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a63d480d679a9c6380f3c9373c419f962"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a63d480d679a9c6380f3c9373c419f962">viennacl::linalg::cuda::storeIntervalConverged</a></div><div class="ttdeci">__device__ void storeIntervalConverged(NumericT *s_left, NumericT *s_right, T *s_left_count, T *s_right_count, NumericT &left, NumericT &mid, NumericT &right, S &left_count, S &mid_count, S &right_count, T *s_compaction_list_exc, unsigned int &compact_second_chunk, const unsigned int num_threads_active, unsigned int &is_active_second)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00465">bisect_util.hpp:465</a></div></div>
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