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<div class="title">bisect_kernel_large.hpp</div> </div>
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<a href="bisect__kernel__large_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_LARGE_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_CUDA_BISECT_KERNEL_LARGE_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="l00031"></a><span class="lineno"> 31</span> <span class="comment">/* Determine eigenvalues for large symmetric, tridiagonal matrix. First</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> step of the computation. */</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment">// includes, project</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</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="l00036"></a><span class="lineno"> 36</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="l00037"></a><span class="lineno"> 37</span> <span class="comment">// additional kernel</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</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="l00039"></a><span class="lineno"> 39</span> </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">// declaration, forward</span></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> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace </span>cuda</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> __device__</div>
<div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a743caf7cf9f215b2b075263e4db8ee21"> 53</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a743caf7cf9f215b2b075263e4db8ee21">writeToGmem</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid_2,</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active,</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_blocks_mult,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_left_one, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_right_one,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_pos_one,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_left_mult, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_right_mult,</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_left_count_mult,</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_right_count_mult,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *s_left, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *s_right,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_left_count, <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_right_count,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_blocks_mult,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_blocks_mult_sum,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_compaction_list,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_helper,</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset_mult_lambda</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> {</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">if</span> (tid < offset_mult_lambda)</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  g_left_one[tid] = s_left[tid];</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  g_right_one[tid] = s_right[tid];</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// right count can be used to order eigenvalues without sorting</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  g_pos_one[tid] = s_right_count[tid];</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="keywordflow">else</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  g_left_mult[tid - offset_mult_lambda] = s_left[tid];</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  g_right_mult[tid - offset_mult_lambda] = s_right[tid];</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  g_left_count_mult[tid - offset_mult_lambda] = s_left_count[tid];</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  g_right_count_mult[tid - offset_mult_lambda] = s_right_count[tid];</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_active)</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">if</span> (tid_2 < offset_mult_lambda)</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</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>  g_left_one[tid_2] = s_left[tid_2];</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  g_right_one[tid_2] = s_right[tid_2];</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// right count can be used to order eigenvalues without sorting</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  g_pos_one[tid_2] = s_right_count[tid_2];</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  g_left_mult[tid_2 - offset_mult_lambda] = s_left[tid_2];</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  g_right_mult[tid_2 - offset_mult_lambda] = s_right[tid_2];</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  g_left_count_mult[tid_2 - offset_mult_lambda] = s_left_count[tid_2];</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  g_right_count_mult[tid_2 - offset_mult_lambda] = s_right_count[tid_2];</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  } <span class="comment">// end writing out data</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>  __syncthreads();</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// note that s_cl_blocking = s_compaction_list + 1;, that is by writing out</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// s_compaction_list we write the exclusive scan result</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (tid <= num_blocks_mult)</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  g_blocks_mult[tid] = s_compaction_list[tid];</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  g_blocks_mult_sum[tid] = s_cl_helper[tid];</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">if</span> (tid_2 <= num_blocks_mult)</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>  g_blocks_mult[tid_2] = s_compaction_list[tid_2];</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  g_blocks_mult_sum[tid_2] = s_cl_helper[tid_2];</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> }</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> __device__</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a723f27943f0427e37e623a9a4a7ec9e5"> 134</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a723f27943f0427e37e623a9a4a7ec9e5">compactStreamsFinal</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid_2,</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active,</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &offset_mult_lambda,</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *s_left, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *s_right,</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_left_count, <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_right_count,</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_one, <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_mult,</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_blocking, <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_helper,</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> is_one_lambda, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> is_one_lambda_2,</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> &left, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> &right, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> &left_2, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> &right_2,</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &left_count, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &right_count,</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &left_count_2, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &right_count_2,</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_block_iend, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_sum_block,</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_block_iend_2, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_sum_block_2</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  )</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// cache data before performing compaction</span></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  left = s_left[tid];</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  right = s_right[tid];</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_active)</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  left_2 = s_left[tid_2];</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  right_2 = s_right[tid_2];</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> </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  __syncthreads();</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="comment">// determine addresses for intervals containing multiple eigenvalues and</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// addresses for blocks of intervals</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ptr_w = 0;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ptr_w_2 = 0;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ptr_blocking_w = 0;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ptr_blocking_w_2 = 0;</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> </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>  ptr_w = (1 == is_one_lambda) ? s_cl_one[tid]</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  : s_cl_mult[tid] + offset_mult_lambda;</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span> (0 != c_block_iend)</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  ptr_blocking_w = s_cl_blocking[tid];</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_active)</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>  ptr_w_2 = (1 == is_one_lambda_2) ? s_cl_one[tid_2]</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  : s_cl_mult[tid_2] + offset_mult_lambda;</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> (0 != c_block_iend_2)</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>  ptr_blocking_w_2 = s_cl_blocking[tid_2];</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  __syncthreads();</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">if</span>(tid < num_threads_active)</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// store compactly in shared mem</span></div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  s_left[ptr_w] = left;</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  s_right[ptr_w] = right;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  s_left_count[ptr_w] = left_count;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  s_right_count[ptr_w] = right_count;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  }</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  __syncthreads();</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span>(tid == 1)</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  s_left[ptr_w] = left;</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  s_right[ptr_w] = right;</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  s_left_count[ptr_w] = left_count;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  s_right_count[ptr_w] = right_count;</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">if</span> (0 != c_block_iend)</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>  s_cl_blocking[ptr_blocking_w + 1] = c_block_iend - 1;</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  s_cl_helper[ptr_blocking_w + 1] = c_sum_block;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_active)</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="comment">// store compactly in shared mem</span></div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  s_left[ptr_w_2] = left_2;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  s_right[ptr_w_2] = right_2;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  s_left_count[ptr_w_2] = left_count_2;</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  s_right_count[ptr_w_2] = right_count_2;</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>  <span class="keywordflow">if</span> (0 != c_block_iend_2)</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>  s_cl_blocking[ptr_blocking_w_2 + 1] = c_block_iend_2 - 1;</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  s_cl_helper[ptr_blocking_w_2 + 1] = c_sum_block_2;</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>  }</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </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> </div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">inline</span> __device__</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#acb21772aa1183e5d957d84d6df004dad"> 239</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#acb21772aa1183e5d957d84d6df004dad">scanCompactBlocksStartAddress</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid_2,</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_compaction,</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_blocking,</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_helper</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> {</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// prepare for second step of block generation: compaction of the block</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// list itself to efficiently write out these</span></div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  s_cl_blocking[tid] = s_cl_helper[tid];</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_compaction)</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>  s_cl_blocking[tid_2] = s_cl_helper[tid_2];</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  __syncthreads();</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// additional scan to compact s_cl_blocking that permits to generate a</span></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// compact list of eigenvalue blocks each one containing about</span></div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// VIENNACL_BISECT_MAX_THREADS_BLOCK eigenvalues (so that each of these blocks may be</span></div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// processed by one thread block in a subsequent processing step</span></div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = 1;</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="comment">// build scan tree</span></div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> d = (num_threads_compaction >> 1); d > 0; d >>= 1)</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  __syncthreads();</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">if</span> (tid < d)</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  {</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ai = offset*(2*tid+1)-1;</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> bi = offset*(2*tid+2)-1;</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  s_cl_blocking[bi] = s_cl_blocking[bi] + s_cl_blocking[ai];</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  offset <<= 1;</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="comment">// traverse down tree: first down to level 2 across</span></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> d = 2; d < num_threads_compaction; d <<= 1)</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  offset >>= 1;</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  __syncthreads();</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">if</span> (tid < (d-1))</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ai = offset*(tid+1) - 1;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> bi = ai + (offset >> 1);</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  s_cl_blocking[bi] = s_cl_blocking[bi] + s_cl_blocking[ai];</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> }</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="keyword">inline</span> __device__</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#aaa61ff2ddb056095d0ee6f4d7321a0ea"> 304</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#aaa61ff2ddb056095d0ee6f4d7321a0ea">scanSumBlocks</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid_2,</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active,</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_compaction,</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_blocking,</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_helper)</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = 1;</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// first step of scan to build the sum of elements within each block</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// build up tree</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> d = num_threads_compaction >> 1; d > 0; d >>= 1)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  __syncthreads();</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">if</span> (tid < d)</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ai = offset*(2*tid+1)-1;</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> bi = offset*(2*tid+2)-1;</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  s_cl_blocking[bi] += s_cl_blocking[ai];</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</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>  offset *= 2;</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="comment">// first step of scan to build the sum of elements within each block</span></div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="comment">// traverse down tree</span></div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> d = 2; d < (num_threads_compaction - 1); d <<= 1)</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  {</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  offset >>= 1;</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  __syncthreads();</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">if</span> (tid < (d-1))</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ai = offset*(tid+1) - 1;</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> bi = ai + (offset >> 1);</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  s_cl_blocking[bi] += s_cl_blocking[ai];</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  }</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  }</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  __syncthreads();</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">if</span> (0 == tid)</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="comment">// move last element of scan to last element that is valid</span></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// necessary because the number of threads employed for scan is a power</span></div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="comment">// of two and not necessarily the number of active threasd</span></div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  s_cl_helper[num_threads_active - 1] =</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  s_cl_helper[num_threads_compaction - 1];</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  s_cl_blocking[num_threads_active - 1] =</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  s_cl_blocking[num_threads_compaction - 1];</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span> }</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <span class="keyword">inline</span> __device__</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a27d8636425ab9073e852cc897ba3abfe"> 370</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a27d8636425ab9073e852cc897ba3abfe">scanInitial</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid_2, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mat_size,</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active,</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_compaction,</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_one, <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_mult,</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_blocking, <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_helper</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  )</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span> {</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// perform scan to compactly write out the intervals containing one and</span></div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="comment">// multiple eigenvalues</span></div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="comment">// also generate tree for blocking of intervals containing multiple</span></div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="comment">// eigenvalues</span></div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset = 1;</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> </div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="comment">// build scan tree</span></div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> d = (num_threads_compaction >> 1); d > 0; d >>= 1)</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  __syncthreads();</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span> (tid < d)</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ai = offset*(2*tid+1);</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> bi = offset*(2*tid+2)-1;</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  s_cl_one[bi] = s_cl_one[bi] + s_cl_one[ai - 1];</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  s_cl_mult[bi] = s_cl_mult[bi] + s_cl_mult[ai - 1];</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// s_cl_helper is binary and zero for an internal node and 1 for a</span></div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="comment">// root node of a tree corresponding to a block</span></div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">// s_cl_blocking contains the number of nodes in each sub-tree at each</span></div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// iteration, the data has to be kept to compute the total number of</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// eigenvalues per block that, in turn, is needed to efficiently</span></div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// write out data in the second step</span></div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span> ((s_cl_helper[ai - 1] != 1) || (s_cl_helper[bi] != 1))</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">// check how many childs are non terminated</span></div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">if</span> (s_cl_helper[ai - 1] == 1)</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="comment">// mark as terminated</span></div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  s_cl_helper[bi] = 1;</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (s_cl_helper[bi] == 1)</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="comment">// mark as terminated</span></div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  s_cl_helper[ai - 1] = 1;</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">else</span> <span class="comment">// both childs are non-terminated</span></div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> temp = s_cl_blocking[bi] + s_cl_blocking[ai - 1];</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">if</span> (temp > (mat_size > 512 ? <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> : <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> / 2))</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="comment">// the two child trees have to form separate blocks, terminate trees</span></div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  s_cl_helper[ai - 1] = 1;</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  s_cl_helper[bi] = 1;</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  {</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="comment">// build up tree by joining subtrees</span></div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  s_cl_blocking[bi] = temp;</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  s_cl_blocking[ai - 1] = 0;</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  }</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  } <span class="comment">// end s_cl_helper update</span></div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span> </div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  }</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  offset <<= 1;</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="comment">// traverse down tree, this only for stream compaction, not for block</span></div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="comment">// construction</span></div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> d = 2; d < num_threads_compaction; d <<= 1)</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  {</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  offset >>= 1;</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  __syncthreads();</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">if</span> (tid < (d-1))</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ai = offset*(tid+1) - 1;</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> bi = ai + (offset >> 1);</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  s_cl_one[bi] = s_cl_one[bi] + s_cl_one[ai];</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  s_cl_mult[bi] = s_cl_mult[bi] + s_cl_mult[ai];</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> }</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> __device__</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00476"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8e870e55635278255a58b5b1a84dd4d4"> 476</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8e870e55635278255a58b5b1a84dd4d4">storeNonEmptyIntervalsLarge</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> addr,</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active,</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *s_left, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *s_right,</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_left_count,</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_right_count,</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> left, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> mid, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> right,</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> left_count,</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> mid_count,</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> right_count,</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> epsilon,</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &compact_second_chunk,</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_compaction_list,</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &is_active_second)</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span> {</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="comment">// check if both child intervals are valid</span></div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">if</span> ((left_count != mid_count) && (mid_count != right_count))</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  {</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a77b416d8ba729bd231378c6fcebebcac">storeInterval</a>(addr, s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  left, mid, left_count, mid_count, epsilon);</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  is_active_second = 1;</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  s_compaction_list[threadIdx.x] = 1;</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  compact_second_chunk = 1;</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  {</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="comment">// only one non-empty child interval</span></div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">// mark that no second child</span></div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  is_active_second = 0;</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  s_compaction_list[threadIdx.x] = 0;</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// store the one valid child interval</span></div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">if</span> (left_count != mid_count)</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a77b416d8ba729bd231378c6fcebebcac">storeInterval</a>(addr, s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  left, mid, left_count, mid_count, epsilon);</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a77b416d8ba729bd231378c6fcebebcac">storeInterval</a>(addr, s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  mid, right, mid_count, right_count, epsilon);</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span> }</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> __global__</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#af960e3245c234d0596d5a2cf66e7a25d"> 537</a></span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#af960e3245c234d0596d5a2cf66e7a25d">bisectKernelLarge</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="l00538"></a><span class="lineno"> 538</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="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> lg_eig_count,</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> ug_eig_count,</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> epsilon,</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_num_one,</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_num_blocks_mult,</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_left_one, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_right_one,</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_pos_one,</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_left_mult, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *g_right_mult,</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_left_count_mult,</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_right_count_mult,</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_blocks_mult,</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> *g_blocks_mult_sum</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  )</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span> {</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid = threadIdx.x;</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="comment">// intervals (store left and right because the subdivision tree is in general</span></div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// not dense</span></div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  __shared__ <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> s_left[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> + 1];</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  __shared__ <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> s_right[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> + 1];</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="comment">// number of eigenvalues that are smaller than s_left / s_right</span></div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="comment">// (correspondence is realized via indices)</span></div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> s_left_count[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> + 1];</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> s_right_count[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> + 1];</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="comment">// helper for stream compaction</span></div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> s_compaction_list[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> + 1];</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="comment">// state variables for whole block</span></div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// if 0 then compaction of second chunk of child intervals is not necessary</span></div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="comment">// (because all intervals had exactly one non-dead child)</span></div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> compact_second_chunk;</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="comment">// if 1 then all threads are converged</span></div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> all_threads_converged;</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="comment">// number of currently active threads</span></div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_active;</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="comment">// number of threads to use for stream compaction</span></div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_threads_compaction;</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="comment">// helper for exclusive scan</span></div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_compaction_list_exc = s_compaction_list + 1;</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span> </div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="comment">// variables for currently processed interval</span></div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="comment">// left and right limit of active interval</span></div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> left = 0.0f;</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> right = 0.0f;</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> left_count = 0;</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> right_count = 0;</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="comment">// midpoint of active interval</span></div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> mid = 0.0f;</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="comment">// number of eigenvalues smaller then mid</span></div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mid_count = 0;</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="comment">// helper for stream compaction (tracking of threads generating second child)</span></div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> is_active_second = 0;</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="comment">// initialize lists</span></div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  s_compaction_list[tid] = 0;</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  s_left[tid] = 0;</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  s_right[tid] = 0;</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  s_left_count[tid] = 0;</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  s_right_count[tid] = 0;</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span> </div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  __syncthreads();</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="comment">// set up initial configuration</span></div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">if</span> (0 == tid)</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> </div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  s_left[0] = lg;</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  s_right[0] = ug;</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  s_left_count[0] = lg_eig_count;</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  s_right_count[0] = ug_eig_count;</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span> </div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  compact_second_chunk = 0;</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  num_threads_active = 1;</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  num_threads_compaction = 1;</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span> </div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  all_threads_converged = 1;</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  }</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span> </div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  __syncthreads();</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span> </div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="comment">// for all active threads read intervals from the last level</span></div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="comment">// the number of (worst case) active threads per level l is 2^l</span></div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="comment">// determine coarse intervals. On these intervals the kernel for one or for multiple eigenvalues</span></div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="comment">// will be executed in the second step</span></div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">while</span>(<span class="keyword">true</span>)</div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  {</div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  s_compaction_list[tid] = 0;</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  s_compaction_list[tid + <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a>] = 0;</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  s_compaction_list[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a>] = 0;</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a3b925276e4de162f0bb068f90a0b298d">subdivideActiveInterval</a>(tid, s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  num_threads_active,</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  left, right, left_count, right_count,</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  mid, all_threads_converged);</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span> </div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  __syncthreads();</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span> </div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="comment">// check if done</span></div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keywordflow">if</span> (1 == all_threads_converged)</div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  {</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  }</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span> </div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="comment">// compute number of eigenvalues smaller than mid</span></div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="comment">// use all threads for reading the necessary matrix data from global</span></div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="comment">// memory</span></div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="comment">// use s_left and s_right as scratch space for diagonal and</span></div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="comment">// superdiagonal of matrix</span></div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  mid_count = <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#aab5eefe8daaa1533e4e6de64f1448a4f">computeNumSmallerEigenvalsLarge</a>(g_d, g_s, n,</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  mid, threadIdx.x,</div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  num_threads_active,</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  s_left, s_right,</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  (left == right));</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  __syncthreads();</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="comment">// store intervals</span></div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="comment">// for all threads store the first child interval in a continuous chunk of</span></div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="comment">// memory, and the second child interval -- if it exists -- in a second</span></div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="comment">// chunk; it is likely that all threads reach convergence up to</span></div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="comment">// \a epsilon at the same level; furthermore, for higher level most / all</span></div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">// threads will have only one child, storing the first child compactly will</span></div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">// (first) avoid to perform a compaction step on the first chunk, (second)</span></div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="comment">// make it for higher levels (when all threads / intervals have</span></div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="comment">// exactly one child) unnecessary to perform a compaction of the second</span></div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="comment">// chunk</span></div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">if</span> (tid < num_threads_active)</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  {</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span> </div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">if</span> (left != right)</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  {</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="comment">// store intervals</span></div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8e870e55635278255a58b5b1a84dd4d4">storeNonEmptyIntervalsLarge</a>(tid, num_threads_active,</div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  s_left, s_right,</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  s_left_count, s_right_count,</div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  left, mid, right,</div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  left_count, mid_count, right_count,</div>
<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  epsilon, compact_second_chunk,</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  s_compaction_list_exc,</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  is_active_second);</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  }</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span> </div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="comment">// re-write converged interval (has to be stored again because s_left</span></div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="comment">// and s_right are used as scratch space for</span></div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="comment">// computeNumSmallerEigenvalsLarge()</span></div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  s_left[tid] = left;</div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  s_right[tid] = left;</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  s_left_count[tid] = left_count;</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  s_right_count[tid] = right_count;</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  is_active_second = 0;</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  }</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  }</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span> </div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="comment">// necessary so that compact_second_chunk is up-to-date</span></div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  __syncthreads();</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span> </div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="comment">// perform compaction of chunk where second children are stored</span></div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="comment">// scan of (num_threads_active / 2) elements, thus at most</span></div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="comment">// (num_threads_active / 4) threads are needed</span></div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordflow">if</span> (compact_second_chunk > 0)</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  {</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="comment">// create indices for compaction</span></div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</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="l00713"></a><span class="lineno"> 713</span>  }</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  __syncthreads();</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span> </div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="keywordflow">if</span> (compact_second_chunk > 0)</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  {</div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</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="l00719"></a><span class="lineno"> 719</span>  mid, right, mid_count, right_count,</div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  s_compaction_list, num_threads_active,</div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  is_active_second);</div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  }</div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  __syncthreads();</div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span> </div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="comment">// update state variables</span></div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keywordflow">if</span> (0 == tid)</div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  {</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span> </div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="comment">// update number of active threads with result of reduction</span></div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  num_threads_active += s_compaction_list[num_threads_active];</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</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="l00733"></a><span class="lineno"> 733</span> </div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  compact_second_chunk = 0;</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  all_threads_converged = 1;</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  }</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  __syncthreads();</div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keywordflow">if</span> (num_threads_compaction > blockDim.x)</div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  {</div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  }</div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  }</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span> </div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  __syncthreads();</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span> </div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="comment">// generate two lists of intervals; one with intervals that contain one</span></div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="comment">// eigenvalue (or are converged), and one with intervals that need further</span></div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="comment">// subdivision</span></div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span> </div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="comment">// perform two scans in parallel</span></div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> left_count_2;</div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> right_count_2;</div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tid_2 = tid + blockDim.x;</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span> </div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="comment">// cache in per thread registers so that s_left_count and s_right_count</span></div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <span class="comment">// can be used for scans</span></div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  left_count = s_left_count[tid];</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  right_count = s_right_count[tid];</div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span> </div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <span class="comment">// some threads have to cache data for two intervals</span></div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_active)</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  {</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  left_count_2 = s_left_count[tid_2];</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  right_count_2 = s_right_count[tid_2];</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  }</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="comment">// compaction list for intervals containing one and multiple eigenvalues</span></div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="comment">// do not affect first element for exclusive scan</span></div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_one = s_left_count + 1;</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_mult = s_right_count + 1;</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span> </div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <span class="comment">// compaction list for generating blocks of intervals containing multiple</span></div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="comment">// eigenvalues</span></div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> *s_cl_blocking = s_compaction_list_exc;</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="comment">// helper compaction list for generating blocks of intervals</span></div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">short</span> s_cl_helper[2 * <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> + 1];</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span> </div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keywordflow">if</span> (0 == tid)</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {</div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  <span class="comment">// set to 0 for exclusive scan</span></div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  s_left_count[0] = 0;</div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  s_right_count[0] = 0;</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span> </div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  }</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span> </div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  __syncthreads();</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span> </div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <span class="comment">// flag if interval contains one or multiple eigenvalues</span></div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> is_one_lambda = 0;</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> is_one_lambda_2 = 0;</div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span> </div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="comment">// number of eigenvalues in the interval</span></div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> multiplicity = right_count - left_count;</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  is_one_lambda = (1 == multiplicity);</div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span> </div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  s_cl_one[tid] = is_one_lambda;</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  s_cl_mult[tid] = (! is_one_lambda);</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="comment">// (note: s_cl_blocking is non-zero only where s_cl_mult[] is non-zero)</span></div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  s_cl_blocking[tid] = (1 == is_one_lambda) ? 0 : multiplicity;</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  s_cl_helper[tid] = 0;</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span> </div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">if</span> (tid_2 < num_threads_active)</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  {</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span> </div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> multiplicity = right_count_2 - left_count_2;</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  is_one_lambda_2 = (1 == multiplicity);</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span> </div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  s_cl_one[tid_2] = is_one_lambda_2;</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  s_cl_mult[tid_2] = (! is_one_lambda_2);</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span> </div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="comment">// (note: s_cl_blocking is non-zero only where s_cl_mult[] is non-zero)</span></div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  s_cl_blocking[tid_2] = (1 == is_one_lambda_2) ? 0 : multiplicity;</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  s_cl_helper[tid_2] = 0;</div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  }</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tid_2 < (2 * (n > 512 ? <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> : <a class="code" href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a> / 2) + 1))</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  {</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span> </div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="comment">// clear</span></div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  s_cl_blocking[tid_2] = 0;</div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  s_cl_helper[tid_2] = 0;</div>
<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  }</div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span> </div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a27d8636425ab9073e852cc897ba3abfe">scanInitial</a>(tid, tid_2, n, num_threads_active, num_threads_compaction,</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  s_cl_one, s_cl_mult, s_cl_blocking, s_cl_helper);</div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  __syncthreads();</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span> </div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#aaa61ff2ddb056095d0ee6f4d7321a0ea">scanSumBlocks</a>(tid, tid_2, num_threads_active,</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  num_threads_compaction, s_cl_blocking, s_cl_helper);</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span> </div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="comment">// end down sweep of scan</span></div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  __syncthreads();</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span> </div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_block_iend = 0;</div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_block_iend_2 = 0;</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_sum_block = 0;</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c_sum_block_2 = 0;</div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span> </div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="comment">// for each thread / interval that corresponds to root node of interval block</span></div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="comment">// store start address of block and total number of eigenvalues in all blocks</span></div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="comment">// before this block (particular thread is irrelevant, constraint is to</span></div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="comment">// have a subset of threads so that one and only one of them is in each</span></div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="comment">// interval)</span></div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keywordflow">if</span> (1 == s_cl_helper[tid])</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  {</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span> </div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  c_block_iend = s_cl_mult[tid] + 1;</div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  c_sum_block = s_cl_blocking[tid];</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  }</div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span> </div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keywordflow">if</span> (1 == s_cl_helper[tid_2])</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  {</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span> </div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  c_block_iend_2 = s_cl_mult[tid_2] + 1;</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  c_sum_block_2 = s_cl_blocking[tid_2];</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  }</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span> </div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#acb21772aa1183e5d957d84d6df004dad">scanCompactBlocksStartAddress</a>(tid, tid_2, num_threads_compaction,</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  s_cl_blocking, s_cl_helper);</div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span> </div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="comment">// finished second scan for s_cl_blocking</span></div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  __syncthreads();</div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="comment">// determine the global results</span></div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_blocks_mult;</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_mult;</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  __shared__ <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> offset_mult_lambda;</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span> </div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keywordflow">if</span> (0 == tid)</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  {</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span> </div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  num_blocks_mult = s_cl_blocking[num_threads_active - 1];</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  offset_mult_lambda = s_cl_one[num_threads_active - 1];</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  num_mult = s_cl_mult[num_threads_active - 1];</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span> </div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  *g_num_one = offset_mult_lambda;</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  *g_num_blocks_mult = num_blocks_mult;</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  }</div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span> </div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  __syncthreads();</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span> </div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> left_2, right_2;</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  --s_cl_one;</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  --s_cl_mult;</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  --s_cl_blocking;</div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span> </div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  __syncthreads();</div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a723f27943f0427e37e623a9a4a7ec9e5">compactStreamsFinal</a>(tid, tid_2, num_threads_active, offset_mult_lambda,</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  s_cl_one, s_cl_mult, s_cl_blocking, s_cl_helper,</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  is_one_lambda, is_one_lambda_2,</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  left, right, left_2, right_2,</div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  left_count, right_count, left_count_2, right_count_2,</div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  c_block_iend, c_sum_block, c_block_iend_2, c_sum_block_2</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  );</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span> </div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  __syncthreads();</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span> </div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="comment">// final adjustment before writing out data to global memory</span></div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordflow">if</span> (0 == tid)</div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  {</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  s_cl_blocking[num_blocks_mult] = num_mult;</div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  s_cl_helper[0] = 0;</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  }</div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span> </div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  __syncthreads();</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span> </div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="comment">// write to global memory</span></div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a743caf7cf9f215b2b075263e4db8ee21">writeToGmem</a>(tid, tid_2, num_threads_active, num_blocks_mult,</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  g_left_one, g_right_one, g_pos_one,</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  g_left_mult, g_right_mult, g_left_count_mult, g_right_count_mult,</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  s_left, s_right, s_left_count, s_right_count,</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  g_blocks_mult, g_blocks_mult_sum,</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  s_compaction_list, s_cl_helper, offset_mult_lambda);</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span> }</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span> }</div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span> }</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span> }</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span> <span class="preprocessor">#endif // #ifndef _BISECT_KERNEL_LARGE_H_</span></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a743caf7cf9f215b2b075263e4db8ee21"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a743caf7cf9f215b2b075263e4db8ee21">viennacl::linalg::cuda::writeToGmem</a></div><div class="ttdeci">__device__ void writeToGmem(const unsigned int tid, const unsigned int tid_2, const unsigned int num_threads_active, const unsigned int num_blocks_mult, NumericT *g_left_one, NumericT *g_right_one, unsigned int *g_pos_one, NumericT *g_left_mult, NumericT *g_right_mult, unsigned int *g_left_count_mult, unsigned int *g_right_count_mult, NumericT *s_left, NumericT *s_right, unsigned short *s_left_count, unsigned short *s_right_count, unsigned int *g_blocks_mult, unsigned int *g_blocks_mult_sum, unsigned short *s_compaction_list, unsigned short *s_cl_helper, unsigned int offset_mult_lambda)</div><div class="ttdoc">Write data to global memory. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00053">bisect_kernel_large.hpp:53</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="config_8hpp_html_a9d776da4d91c5393d73cae382fdbc48d"><div class="ttname"><a href="config_8hpp.html#a9d776da4d91c5393d73cae382fdbc48d">VIENNACL_BISECT_MAX_THREADS_BLOCK</a></div><div class="ttdeci">#define VIENNACL_BISECT_MAX_THREADS_BLOCK</div><div class="ttdef"><b>Definition:</b> <a href="config_8hpp_source.html#l00032">config.hpp:32</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a27d8636425ab9073e852cc897ba3abfe"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a27d8636425ab9073e852cc897ba3abfe">viennacl::linalg::cuda::scanInitial</a></div><div class="ttdeci">__device__ void scanInitial(const unsigned int tid, const unsigned int tid_2, const unsigned int mat_size, const unsigned int num_threads_active, const unsigned int num_threads_compaction, unsigned short *s_cl_one, unsigned short *s_cl_mult, unsigned short *s_cl_blocking, unsigned short *s_cl_helper)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00370">bisect_kernel_large.hpp:370</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="namespaceviennacl_1_1linalg_1_1cuda_html_af960e3245c234d0596d5a2cf66e7a25d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#af960e3245c234d0596d5a2cf66e7a25d">viennacl::linalg::cuda::bisectKernelLarge</a></div><div class="ttdeci">__global__ void bisectKernelLarge(const NumericT *g_d, const NumericT *g_s, const unsigned int n, const NumericT lg, const NumericT ug, const unsigned int lg_eig_count, const unsigned int ug_eig_count, NumericT epsilon, unsigned int *g_num_one, unsigned int *g_num_blocks_mult, NumericT *g_left_one, NumericT *g_right_one, unsigned int *g_pos_one, NumericT *g_left_mult, NumericT *g_right_mult, unsigned int *g_left_count_mult, unsigned int *g_right_count_mult, unsigned int *g_blocks_mult, unsigned int *g_blocks_mult_sum)</div><div class="ttdoc">Bisection to find eigenvalues of a real, symmetric, and tridiagonal matrix g_d diagonal elements in g...</div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00537">bisect_kernel_large.hpp:537</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="namespaceviennacl_1_1linalg_1_1cuda_html_acb21772aa1183e5d957d84d6df004dad"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#acb21772aa1183e5d957d84d6df004dad">viennacl::linalg::cuda::scanCompactBlocksStartAddress</a></div><div class="ttdeci">__device__ void scanCompactBlocksStartAddress(const unsigned int tid, const unsigned int tid_2, const unsigned int num_threads_compaction, unsigned short *s_cl_blocking, unsigned short *s_cl_helper)</div><div class="ttdoc">Compute addresses to obtain compact list of block start addresses. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00239">bisect_kernel_large.hpp:239</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="namespaceviennacl_1_1linalg_1_1cuda_html_a8e870e55635278255a58b5b1a84dd4d4"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a8e870e55635278255a58b5b1a84dd4d4">viennacl::linalg::cuda::storeNonEmptyIntervalsLarge</a></div><div class="ttdeci">__device__ void storeNonEmptyIntervalsLarge(unsigned int addr, const unsigned int num_threads_active, NumericT *s_left, NumericT *s_right, unsigned short *s_left_count, unsigned short *s_right_count, NumericT left, NumericT mid, NumericT right, const unsigned short left_count, const unsigned short mid_count, const unsigned short right_count, NumericT epsilon, unsigned int &compact_second_chunk, unsigned short *s_compaction_list, unsigned int &is_active_second)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00476">bisect_kernel_large.hpp:476</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a723f27943f0427e37e623a9a4a7ec9e5"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a723f27943f0427e37e623a9a4a7ec9e5">viennacl::linalg::cuda::compactStreamsFinal</a></div><div class="ttdeci">__device__ void compactStreamsFinal(const unsigned int tid, const unsigned int tid_2, const unsigned int num_threads_active, unsigned int &offset_mult_lambda, NumericT *s_left, NumericT *s_right, unsigned short *s_left_count, unsigned short *s_right_count, unsigned short *s_cl_one, unsigned short *s_cl_mult, unsigned short *s_cl_blocking, unsigned short *s_cl_helper, unsigned int is_one_lambda, unsigned int is_one_lambda_2, NumericT &left, NumericT &right, NumericT &left_2, NumericT &right_2, unsigned int &left_count, unsigned int &right_count, unsigned int &left_count_2, unsigned int &right_count_2, unsigned int c_block_iend, unsigned int c_sum_block, unsigned int c_block_iend_2, unsigned int c_sum_block_2)</div><div class="ttdoc">Perform final stream compaction before writing data to global memory. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00134">bisect_kernel_large.hpp:134</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="namespaceviennacl_1_1linalg_1_1cuda_html_a77b416d8ba729bd231378c6fcebebcac"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a77b416d8ba729bd231378c6fcebebcac">viennacl::linalg::cuda::storeInterval</a></div><div class="ttdeci">__device__ void storeInterval(unsigned int addr, NumericT *s_left, NumericT *s_right, T *s_left_count, T *s_right_count, NumericT left, NumericT right, S left_count, S right_count, NumericT precision)</div><div class="ttdef"><b>Definition:</b> <a href="bisect__util_8hpp_source.html#l00124">bisect_util.hpp:124</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_aaa61ff2ddb056095d0ee6f4d7321a0ea"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#aaa61ff2ddb056095d0ee6f4d7321a0ea">viennacl::linalg::cuda::scanSumBlocks</a></div><div class="ttdeci">__device__ void scanSumBlocks(const unsigned int tid, const unsigned int tid_2, const unsigned int num_threads_active, const unsigned int num_threads_compaction, unsigned short *s_cl_blocking, unsigned short *s_cl_helper)</div><div class="ttdoc">Perform scan to obtain number of eigenvalues before a specific block. </div><div class="ttdef"><b>Definition:</b> <a href="bisect__kernel__large_8hpp_source.html#l00304">bisect_kernel_large.hpp:304</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a3b925276e4de162f0bb068f90a0b298d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a3b925276e4de162f0bb068f90a0b298d">viennacl::linalg::cuda::subdivideActiveInterval</a></div><div class="ttdeci">__device__ void subdivideActiveInterval(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#l00582">bisect_util.hpp:582</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_aab5eefe8daaa1533e4e6de64f1448a4f"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#aab5eefe8daaa1533e4e6de64f1448a4f">viennacl::linalg::cuda::computeNumSmallerEigenvalsLarge</a></div><div class="ttdeci">__device__ unsigned int computeNumSmallerEigenvalsLarge(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#l00237">bisect_util.hpp:237</a></div></div>
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