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<div class="title">bisect_kernel_calls.hpp</div> </div>
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<a href="cuda_2bisect__kernel__calls_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_CALLS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_CUDA_BISECT_KERNEL_CALLS_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"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> -----------------</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"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"></span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="structs_8hpp.html">viennacl/linalg/detail/bisect/structs.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">// includes, kernels</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="bisect__kernel__small_8hpp.html">viennacl/linalg/cuda/bisect_kernel_small.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="bisect__kernel__large_8hpp.html">viennacl/linalg/cuda/bisect_kernel_large.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="bisect__kernel__large__onei_8hpp.html">viennacl/linalg/cuda/bisect_kernel_large_onei.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="bisect__kernel__large__multi_8hpp.html">viennacl/linalg/cuda/bisect_kernel_large_multi.hpp</a>"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>linalg</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>cuda</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">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a98496b048296345686f67a3b491a315b"> 45</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a98496b048296345686f67a3b491a315b">bisectSmall</a>(<span class="keyword">const</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html">viennacl::linalg::detail::InputData<NumericT></a> &input, <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html">viennacl::linalg::detail::ResultDataSmall<NumericT></a> &result,</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mat_size,</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</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="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> precision)</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  dim3 blocks(1, 1, 1);</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  dim3 threads(<a class="code" href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a>, 1, 1);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  bisectKernelSmall<<< blocks, threads >>>(</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a07756dd91e2e26156d9aeed0db409a28">g_a</a>),</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a2154f0ea1ebad5caa4e971ee70273dd5">g_b</a>) + 1,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  mat_size,</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#ada572d22b80ffc72108476906c35df20">vcl_g_left</a>),</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a05a81b912f057a10e7fbe5125ebf1b7f">vcl_g_right</a>),</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a9f2ef847143e68d1b1718ada0949eaa0">vcl_g_left_count</a>),</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a78fcafcb97d89a8d4a9ed105b70e166f">vcl_g_right_count</a>),</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  lg, ug, 0, mat_size,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  precision</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  );</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">viennacl::linalg::cuda::VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"Kernel launch failed"</span>);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#aee66915324a02fbc043920fbc301ad02"> 71</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#aee66915324a02fbc043920fbc301ad02">bisectLarge</a>(<span class="keyword">const</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html">viennacl::linalg::detail::InputData<NumericT></a> &input, <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html">viennacl::linalg::detail::ResultDataLarge<NumericT></a> &result,</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mat_size,</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</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="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> precision)</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  dim3 blocks(1, 1, 1);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  dim3 threads(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 , 1, 1);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  bisectKernelLarge<<< blocks, threads >>></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  (<a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a07756dd91e2e26156d9aeed0db409a28">g_a</a>),</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a2154f0ea1ebad5caa4e971ee70273dd5">g_b</a>) + 1,</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  mat_size,</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  lg, ug, <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(0), mat_size, precision,</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a748b92a70f85cc74b516a5a8c75e1daf">g_num_one</a>),</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#af566114b982173623dc269ea226f8016">g_num_blocks_mult</a>),</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a3d1729c1d3e4b8d28148b82f50a38d30">g_left_one</a>),</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a2bd6104b6d1b5327b7e90187a576634d">g_right_one</a>),</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aec1a5aacddf6d20e9b26abc4a0e48e2e">g_pos_one</a>),</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aea98b26fcfd26a4cd4ec93f7d60dff83">g_left_mult</a>),</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aa81a087677f95d462243a58dbb050913">g_right_mult</a>),</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a4c7fd021f288268c8da6e426b664e91a">g_left_count_mult</a>),</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a3745adea20ac023ed7971e60bcc7ba77">g_right_count_mult</a>),</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a4ffbafcbff52ed21bfc0556f6a9e816d">g_blocks_mult</a>),</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#ad5a921d0e8c920614b037a61c621136d">g_blocks_mult_sum</a>)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  );</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">viennacl::linalg::cuda::VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"Kernel launch failed."</span>);</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment">// compute eigenvalues for intervals that contained only one eigenvalue</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment">// after the first processing step</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8429f1e8b2cb39a1d58c2336da545805"> 103</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a8429f1e8b2cb39a1d58c2336da545805">bisectLarge_OneIntervals</a>(<span class="keyword">const</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html">viennacl::linalg::detail::InputData<NumericT></a> &input, <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html">viennacl::linalg::detail::ResultDataLarge<NumericT></a> &result,</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mat_size,</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> precision)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_one_intervals = result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a748b92a70f85cc74b516a5a8c75e1daf">g_num_one</a>;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_blocks = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a0dbe97ee8a977bb1a0e42768b8e1e6ca">viennacl::linalg::detail::getNumBlocksLinear</a>(num_one_intervals,</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  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="l00111"></a><span class="lineno"> 111</span>  dim3 grid_onei;</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  grid_onei.x = num_blocks;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  grid_onei.y = 1, grid_onei.z = 1;</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  dim3 threads_onei(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, 1, 1);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  bisectKernelLarge_OneIntervals<<< grid_onei , threads_onei >>></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  (<a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a07756dd91e2e26156d9aeed0db409a28">g_a</a>),</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a2154f0ea1ebad5caa4e971ee70273dd5">g_b</a>) + 1,</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  mat_size, num_one_intervals,</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a3d1729c1d3e4b8d28148b82f50a38d30">g_left_one</a>),</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a2bd6104b6d1b5327b7e90187a576634d">g_right_one</a>),</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aec1a5aacddf6d20e9b26abc4a0e48e2e">g_pos_one</a>),</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  precision</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>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">viennacl::linalg::cuda::VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"bisectKernelLarge_OneIntervals() FAILED."</span>);</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment">// process intervals that contained more than one eigenvalue after</span></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment">// the first processing step</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4d69ef23f6634e2fea631d096dcbd700"> 133</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a4d69ef23f6634e2fea631d096dcbd700">bisectLarge_MultIntervals</a>(<span class="keyword">const</span> <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html">viennacl::linalg::detail::InputData<NumericT></a> &input, <a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html">viennacl::linalg::detail::ResultDataLarge<NumericT></a> &result,</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mat_size,</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> precision)</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// get the number of blocks of intervals that contain, in total when</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// each interval contains only one eigenvalue, not more than</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// MAX_THREADS_BLOCK threads</span></div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_blocks_mult = result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#af566114b982173623dc269ea226f8016">g_num_blocks_mult</a>;</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// setup the execution environment</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  dim3 grid_mult(num_blocks_mult, 1, 1);</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  dim3 threads_mult(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, 1, 1);</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  bisectKernelLarge_MultIntervals<<< grid_mult, threads_mult >>></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  (<a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a07756dd91e2e26156d9aeed0db409a28">g_a</a>),</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(input.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a2154f0ea1ebad5caa4e971ee70273dd5">g_b</a>) + 1,</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  mat_size,</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a4ffbafcbff52ed21bfc0556f6a9e816d">g_blocks_mult</a>),</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#ad5a921d0e8c920614b037a61c621136d">g_blocks_mult_sum</a>),</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aea98b26fcfd26a4cd4ec93f7d60dff83">g_left_mult</a>),</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aa81a087677f95d462243a58dbb050913">g_right_mult</a>),</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a4c7fd021f288268c8da6e426b664e91a">g_left_count_mult</a>),</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a3745adea20ac023ed7971e60bcc7ba77">g_right_count_mult</a>),</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#ae5bf8aead6229cd2f783ca8408c48acb">g_lambda_mult</a>),</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(result.<a class="code" href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a9acb1964e7e4e3c9d3271c86d31fa6f4">g_pos_mult</a>),</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  precision</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>  <a class="code" href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">viennacl::linalg::cuda::VIENNACL_CUDA_LAST_ERROR_CHECK</a>(<span class="stringliteral">"bisectKernelLarge_MultIntervals() FAILED."</span>);</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> }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> }</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_input_data_html_a2154f0ea1ebad5caa4e971ee70273dd5"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a2154f0ea1ebad5caa4e971ee70273dd5">viennacl::linalg::detail::InputData::g_b</a></div><div class="ttdeci">viennacl::vector< NumericT > g_b</div><div class="ttdoc">device side representation of superdiagonal </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00062">structs.hpp:62</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_aee66915324a02fbc043920fbc301ad02"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#aee66915324a02fbc043920fbc301ad02">viennacl::linalg::cuda::bisectLarge</a></div><div class="ttdeci">void bisectLarge(const viennacl::linalg::detail::InputData< NumericT > &input, viennacl::linalg::detail::ResultDataLarge< NumericT > &result, const unsigned int mat_size, const NumericT lg, const NumericT ug, const NumericT precision)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2bisect__kernel__calls_8hpp_source.html#l00071">bisect_kernel_calls.hpp:71</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_aea98b26fcfd26a4cd4ec93f7d60dff83"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aea98b26fcfd26a4cd4ec93f7d60dff83">viennacl::linalg::detail::ResultDataLarge::g_left_mult</a></div><div class="ttdeci">viennacl::vector< NumericT > g_left_mult</div><div class="ttdoc">left interval limits of intervals containing multiple eigenvalues after the first iteration step ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00146">structs.hpp:146</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="structs_8hpp_html"><div class="ttname"><a href="structs_8hpp.html">structs.hpp</a></div><div class="ttdoc">Helper structures to simplify variable handling. </div></div>
<div class="ttc" id="bisect__kernel__small_8hpp_html"><div class="ttname"><a href="bisect__kernel__small_8hpp.html">bisect_kernel_small.hpp</a></div><div class="ttdoc">Determine eigenvalues for small symmetric, tridiagonal matrix. </div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a3d1729c1d3e4b8d28148b82f50a38d30"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a3d1729c1d3e4b8d28148b82f50a38d30">viennacl::linalg::detail::ResultDataLarge::g_left_one</a></div><div class="ttdeci">viennacl::vector< NumericT > g_left_one</div><div class="ttdoc">left interval limits of intervals containing one eigenvalue after the first iteration step ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00137">structs.hpp:137</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_af566114b982173623dc269ea226f8016"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#af566114b982173623dc269ea226f8016">viennacl::linalg::detail::ResultDataLarge::g_num_blocks_mult</a></div><div class="ttdeci">viennacl::scalar< unsigned int > g_num_blocks_mult</div><div class="ttdoc">number of (thread) blocks of intervals containing multiple eigenvalues after the first steo ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00134">structs.hpp:134</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a4ffbafcbff52ed21bfc0556f6a9e816d"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a4ffbafcbff52ed21bfc0556f6a9e816d">viennacl::linalg::detail::ResultDataLarge::g_blocks_mult</a></div><div class="ttdeci">viennacl::vector< unsigned int > g_blocks_mult</div><div class="ttdoc">start addresses in g_left_mult etc. of blocks of intervals containing more than one eigenvalue after ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00156">structs.hpp:156</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a4c7fd021f288268c8da6e426b664e91a"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a4c7fd021f288268c8da6e426b664e91a">viennacl::linalg::detail::ResultDataLarge::g_left_count_mult</a></div><div class="ttdeci">viennacl::vector< unsigned int > g_left_count_mult</div><div class="ttdoc">number of eigenvalues less than the left limit of the eigenvalue intervals containing multiple eigenv...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00151">structs.hpp:151</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="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a3745adea20ac023ed7971e60bcc7ba77"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a3745adea20ac023ed7971e60bcc7ba77">viennacl::linalg::detail::ResultDataLarge::g_right_count_mult</a></div><div class="ttdeci">viennacl::vector< unsigned int > g_right_count_mult</div><div class="ttdoc">number of eigenvalues less than the right limit of the eigenvalue intervals containing multiple eigen...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00154">structs.hpp:154</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_input_data_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html">viennacl::linalg::detail::InputData</a></div><div class="ttdoc">In this class the input matrix is stored. </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00053">structs.hpp:53</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a0dbe97ee8a977bb1a0e42768b8e1e6ca"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a0dbe97ee8a977bb1a0e42768b8e1e6ca">viennacl::linalg::detail::getNumBlocksLinear</a></div><div class="ttdeci">unsigned int getNumBlocksLinear(const unsigned int num_threads, const unsigned int num_threads_block)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2detail_2bisect_2util_8hpp_source.html#l00096">util.hpp:96</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_small_html_a05a81b912f057a10e7fbe5125ebf1b7f"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a05a81b912f057a10e7fbe5125ebf1b7f">viennacl::linalg::detail::ResultDataSmall::vcl_g_right</a></div><div class="ttdeci">viennacl::vector< NumericT > vcl_g_right</div><div class="ttdoc">right interval limits at the end of the computation </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00103">structs.hpp:103</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_ae5bf8aead6229cd2f783ca8408c48acb"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#ae5bf8aead6229cd2f783ca8408c48acb">viennacl::linalg::detail::ResultDataLarge::g_lambda_mult</a></div><div class="ttdeci">viennacl::vector< NumericT > g_lambda_mult</div><div class="ttdoc">eigenvalues that have been generated in the second step from intervals that still contained multiple ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00162">structs.hpp:162</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_small_html_ada572d22b80ffc72108476906c35df20"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#ada572d22b80ffc72108476906c35df20">viennacl::linalg::detail::ResultDataSmall::vcl_g_left</a></div><div class="ttdeci">viennacl::vector< NumericT > vcl_g_left</div><div class="ttdoc">left interval limits at the end of the computation </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00101">structs.hpp:101</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_small_html_a9f2ef847143e68d1b1718ada0949eaa0"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a9f2ef847143e68d1b1718ada0949eaa0">viennacl::linalg::detail::ResultDataSmall::vcl_g_left_count</a></div><div class="ttdeci">viennacl::vector< unsigned int > vcl_g_left_count</div><div class="ttdoc">number of eigenvalues smaller than the left interval limit </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00105">structs.hpp:105</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_aec1a5aacddf6d20e9b26abc4a0e48e2e"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aec1a5aacddf6d20e9b26abc4a0e48e2e">viennacl::linalg::detail::ResultDataLarge::g_pos_one</a></div><div class="ttdeci">viennacl::vector< unsigned int > g_pos_one</div><div class="ttdoc">interval indices (position in sorted listed of eigenvalues) of intervals containing one eigenvalue af...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00143">structs.hpp:143</a></div></div>
<div class="ttc" id="config_8hpp_html_a62bb16be6604cdcfdf2e6e9026876cc7"><div class="ttname"><a href="config_8hpp.html#a62bb16be6604cdcfdf2e6e9026876cc7">VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</a></div><div class="ttdeci">#define VIENNACL_BISECT_MAX_THREADS_BLOCK_SMALL_MATRIX</div><div class="ttdef"><b>Definition:</b> <a href="config_8hpp_source.html#l00038">config.hpp:38</a></div></div>
<div class="ttc" id="bisect__kernel__large_8hpp_html"><div class="ttname"><a href="bisect__kernel__large_8hpp.html">bisect_kernel_large.hpp</a></div><div class="ttdoc">First step of the bisection algorithm for the computation of eigenvalues. </div></div>
<div class="ttc" id="bisect__kernel__large__onei_8hpp_html"><div class="ttname"><a href="bisect__kernel__large__onei_8hpp.html">bisect_kernel_large_onei.hpp</a></div><div class="ttdoc">Determine eigenvalues for large matrices for intervals that contained after the first step one eigenv...</div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a2bd6104b6d1b5327b7e90187a576634d"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a2bd6104b6d1b5327b7e90187a576634d">viennacl::linalg::detail::ResultDataLarge::g_right_one</a></div><div class="ttdeci">viennacl::vector< NumericT > g_right_one</div><div class="ttdoc">right interval limits of intervals containing one eigenvalue after the first iteration step ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00140">structs.hpp:140</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a9acb1964e7e4e3c9d3271c86d31fa6f4"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a9acb1964e7e4e3c9d3271c86d31fa6f4">viennacl::linalg::detail::ResultDataLarge::g_pos_mult</a></div><div class="ttdeci">viennacl::vector< unsigned int > g_pos_mult</div><div class="ttdoc">eigenvalue index of intervals that have been generated in the second processing step ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00165">structs.hpp:165</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a8429f1e8b2cb39a1d58c2336da545805"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a8429f1e8b2cb39a1d58c2336da545805">viennacl::linalg::cuda::bisectLarge_OneIntervals</a></div><div class="ttdeci">void bisectLarge_OneIntervals(const viennacl::linalg::detail::InputData< NumericT > &input, viennacl::linalg::detail::ResultDataLarge< NumericT > &result, const unsigned int mat_size, const NumericT precision)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2bisect__kernel__calls_8hpp_source.html#l00103">bisect_kernel_calls.hpp:103</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_small_html_a78fcafcb97d89a8d4a9ed105b70e166f"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html#a78fcafcb97d89a8d4a9ed105b70e166f">viennacl::linalg::detail::ResultDataSmall::vcl_g_right_count</a></div><div class="ttdeci">viennacl::vector< unsigned int > vcl_g_right_count</div><div class="ttdoc">number of eigenvalues bigger than the right interval limit </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00107">structs.hpp:107</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html">viennacl::linalg::detail::ResultDataLarge</a></div><div class="ttdoc">In this class the data of the result for large matrices is stored. </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00125">structs.hpp:125</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a98496b048296345686f67a3b491a315b"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a98496b048296345686f67a3b491a315b">viennacl::linalg::cuda::bisectSmall</a></div><div class="ttdeci">void bisectSmall(const viennacl::linalg::detail::InputData< NumericT > &input, viennacl::linalg::detail::ResultDataSmall< NumericT > &result, const unsigned int mat_size, const NumericT lg, const NumericT ug, const NumericT precision)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2bisect__kernel__calls_8hpp_source.html#l00045">bisect_kernel_calls.hpp:45</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_ad5a921d0e8c920614b037a61c621136d"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#ad5a921d0e8c920614b037a61c621136d">viennacl::linalg::detail::ResultDataLarge::g_blocks_mult_sum</a></div><div class="ttdeci">viennacl::vector< unsigned int > g_blocks_mult_sum</div><div class="ttdoc">accumulated number of intervals in g_left_mult etc. of blocks of intervals containing more than one e...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00159">structs.hpp:159</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_a748b92a70f85cc74b516a5a8c75e1daf"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#a748b92a70f85cc74b516a5a8c75e1daf">viennacl::linalg::detail::ResultDataLarge::g_num_one</a></div><div class="ttdeci">viennacl::scalar< unsigned int > g_num_one</div><div class="ttdoc">number of intervals containing one eigenvalue after the first step </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00131">structs.hpp:131</a></div></div>
<div class="ttc" id="linalg_2cuda_2common_8hpp_html_acdb31f22f4d1e12f1c2a27d4c4aa6865"><div class="ttname"><a href="linalg_2cuda_2common_8hpp.html#acdb31f22f4d1e12f1c2a27d4c4aa6865">VIENNACL_CUDA_LAST_ERROR_CHECK</a></div><div class="ttdeci">#define VIENNACL_CUDA_LAST_ERROR_CHECK(message)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2cuda_2common_8hpp_source.html#l00030">common.hpp:30</a></div></div>
<div class="ttc" id="namespaceviennacl_html_ae7d5db0c2c91be75218db5b52c4d13da"><div class="ttname"><a href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a></div><div class="ttdeci">NumericT * cuda_arg(scalar< NumericT > &obj)</div><div class="ttdoc">Convenience helper function for extracting the CUDA handle from a ViennaCL scalar. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2cuda_2common_8hpp_source.html#l00039">common.hpp:39</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a4d69ef23f6634e2fea631d096dcbd700"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a4d69ef23f6634e2fea631d096dcbd700">viennacl::linalg::cuda::bisectLarge_MultIntervals</a></div><div class="ttdeci">void bisectLarge_MultIntervals(const viennacl::linalg::detail::InputData< NumericT > &input, viennacl::linalg::detail::ResultDataLarge< NumericT > &result, const unsigned int mat_size, const NumericT precision)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2bisect__kernel__calls_8hpp_source.html#l00133">bisect_kernel_calls.hpp:133</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_small_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_small.html">viennacl::linalg::detail::ResultDataSmall</a></div><div class="ttdoc">In this class the data of the result for small matrices is stored. </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00096">structs.hpp:96</a></div></div>
<div class="ttc" id="bisect__kernel__large__multi_8hpp_html"><div class="ttname"><a href="bisect__kernel__large__multi_8hpp.html">bisect_kernel_large_multi.hpp</a></div><div class="ttdoc">Second step of the bisection algorithm for the computation of eigenvalues for large matrices...</div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_input_data_html_a07756dd91e2e26156d9aeed0db409a28"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_input_data.html#a07756dd91e2e26156d9aeed0db409a28">viennacl::linalg::detail::InputData::g_a</a></div><div class="ttdeci">viennacl::vector< NumericT > g_a</div><div class="ttdoc">device side representation of diagonal </div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00060">structs.hpp:60</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1detail_1_1_result_data_large_html_aa81a087677f95d462243a58dbb050913"><div class="ttname"><a href="structviennacl_1_1linalg_1_1detail_1_1_result_data_large.html#aa81a087677f95d462243a58dbb050913">viennacl::linalg::detail::ResultDataLarge::g_right_mult</a></div><div class="ttdeci">viennacl::vector< NumericT > g_right_mult</div><div class="ttdoc">right interval limits of intervals containing multiple eigenvalues after the first iteration step ...</div><div class="ttdef"><b>Definition:</b> <a href="structs_8hpp_source.html#l00148">structs.hpp:148</a></div></div>
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