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<div class="title">compressed_compressed_matrix.hpp</div> </div>
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<a href="compressed__compressed__matrix_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_COMPRESSED_compressed_compressed_matrix_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_COMPRESSED_compressed_compressed_matrix_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="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <vector></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <list></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <map></span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.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="preprocessor">#include "<a class="code" href="sparse__matrix__operations_8hpp.html">viennacl/linalg/sparse_matrix_operations.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="entry__proxy_8hpp.html">viennacl/tools/entry_proxy.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div>
<div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html"> 38</a></span> <span class="keyword">namespace </span>detail</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">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195"> 41</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">copy_impl</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix<NumericT></a> & gpu_matrix,</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows,</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros)</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>  assert( (gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>() == 0 || <a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  assert( (gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>() == 0 || <a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">handle1</a>(), nonzero_rows + 1);</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_indices(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41">handle3</a>(), nonzero_rows);</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">handle2</a>(), nonzeros);</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::vector<NumericT> elements(nonzeros);</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> row_index = 0;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator1 row_it = cpu_matrix.begin1();</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  row_it != cpu_matrix.end1();</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  ++row_it)</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">bool</span> row_empty = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator2 col_it = row_it.begin();</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  col_it != row_it.end();</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  ++col_it)</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> entry = *col_it;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span> (entry < 0 || entry > 0) <span class="comment">// entry != 0 without compiler warnings</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="keywordflow">if</span> (row_empty)</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  assert(row_index < nonzero_rows && <span class="keywordtype">bool</span>(<span class="stringliteral">"Provided count of nonzero rows exceeded!"</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>  row_empty = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  row_buffer.set(row_index, data_index);</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  row_indices.set(row_index, col_it.index1());</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ++row_index;</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  col_buffer.set(data_index, col_it.index2());</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  elements[data_index] = entry;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  ++data_index;</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  row_buffer.set(row_index, data_index);</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>  gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#aca1c507b9689fbc518f7ea50babbf646">set</a>(row_buffer.get(),</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  row_indices.get(),</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  col_buffer.get(),</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  &elements[0],</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  cpu_matrix.size1(),</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  cpu_matrix.size2(),</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  nonzero_rows,</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  nonzeros);</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</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> <span class="comment">//provide copy-operation:</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a99c761df7c27ca099b03b46931911648"> 115</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix<NumericT></a> & gpu_matrix )</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> {</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">//std::cout << "copy for (" << cpu_matrix.size1() << ", " << cpu_matrix.size2() << ", " << cpu_matrix.nnz() << ")" << std::endl;</span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">if</span> ( cpu_matrix.size1() > 0 && cpu_matrix.size2() > 0 )</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">//determine nonzero rows and total nonzeros:</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = 0;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows = 0;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator1 row_it = cpu_matrix.begin1();</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  row_it != cpu_matrix.end1();</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ++row_it)</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>  <span class="keywordtype">bool</span> row_empty = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> CPUMatrixT::const_iterator2 col_it = row_it.begin();</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  col_it != row_it.end();</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  ++col_it)</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  {</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> val = *col_it;</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">if</span> (val < 0 || val > 0) <span class="comment">// val != 0 without compiler warnings</span></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>  ++num_entries;</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span> (row_empty)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  row_empty = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  ++nonzero_rows;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (num_entries == 0) <span class="comment">//we copy an empty matrix</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  num_entries = 1;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">//set up matrix entries:</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a>(cpu_matrix, gpu_matrix, nonzero_rows, num_entries);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment">//adapted for std::vector< std::map < > > argument:</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> SizeT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#ab83a1719b10d1145a9d7035487c8f2ce"> 164</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> std::vector< std::map<SizeT, NumericT> > & cpu_matrix,</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix<NumericT></a> & gpu_matrix )</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> {</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows = 0;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros = 0;</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> max_col = 0;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<cpu_matrix.size(); ++i)</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span> (cpu_matrix[i].<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>() > 0)</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  ++nonzero_rows;</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  nonzeros += cpu_matrix[i].size();</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">if</span> (cpu_matrix[i].<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>() > 0)</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  max_col = std::max<vcl_size_t>(max_col, (cpu_matrix[i].rbegin())->first);</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>  <a class="code" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a>(<a class="code" href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html">tools::const_sparse_matrix_adapter<NumericT, SizeT></a>(cpu_matrix, cpu_matrix.size(), max_col + 1),</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  gpu_matrix,</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  nonzero_rows,</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  nonzeros);</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> </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> <span class="comment">//</span></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment">// gpu to cpu:</span></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="comment">//</span></div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="comment"></span><span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a4513747040c2f4c7951d3e866fbb7fb4"> 199</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix<NumericT></a> & gpu_matrix,</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  CPUMatrixT & cpu_matrix )</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>  assert( (cpu_matrix.size1() == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  assert( (cpu_matrix.size2() == gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</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>  <span class="keywordflow">if</span> ( gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>() > 0 && gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>() > 0 )</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">//get raw data from memory:</span></div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">handle1</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">nnz1</a>() + 1);</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> row_indices(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">handle1</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">nnz1</a>());</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> col_buffer(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">handle2</a>(), gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d">nnz</a>());</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  std::vector<NumericT> elements(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d">nnz</a>());</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">//std::cout << "GPU->CPU, nonzeros: " << gpu_matrix.nnz() << std::endl;</span></div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">handle1</a>(), 0, row_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_buffer.get());</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41">handle3</a>(), 0, row_indices.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), row_indices.get());</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">handle2</a>(), 0, col_buffer.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(), col_buffer.get());</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a23111df9ac4134639283ed5a554347f7">handle</a>(), 0, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)* gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d">nnz</a>(), &(elements[0]));</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">//fill the cpu_matrix:</span></div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> data_index = 0;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = 1; i < row_buffer.size(); ++i)</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  {</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">while</span> (data_index < row_buffer[i])</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">if</span> (col_buffer[data_index] >= gpu_matrix.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>())</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::cerr << <span class="stringliteral">"ViennaCL encountered invalid data at colbuffer["</span> << data_index << <span class="stringliteral">"]: "</span> << col_buffer[data_index] << std::endl;</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">return</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>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> val = elements[data_index];</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">if</span> (val < 0 || val > 0) <span class="comment">// val != 0 without compiler warning</span></div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  cpu_matrix(row_indices[i-1], col_buffer[data_index]) = val;</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  ++data_index;</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> }</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00248"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a33af429555220f128281e71d75932ea3"> 248</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix<NumericT></a> & gpu_matrix,</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  std::vector< std::map<unsigned int, NumericT> > & cpu_matrix)</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>  <a class="code" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">tools::sparse_matrix_adapter<NumericT></a> temp(cpu_matrix, cpu_matrix.size(), cpu_matrix.size());</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(gpu_matrix, temp);</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> </div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="keyword">template</span><<span class="keyword">class</span> NumericT></div>
<div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html"> 265</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix</a></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> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd"> 268</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd">handle_type</a>;</div>
<div class="line"><a name="l00269"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#ae1aa2f141a77a8a7d9d052c7917ec848"> 269</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1scalar.html">scalar<typename viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT<NumericT>::ResultType</a>> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#ae1aa2f141a77a8a7d9d052c7917ec848">value_type</a>;</div>
<div class="line"><a name="l00270"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a29c03901626450cbae77b63e934deb2d"> 270</a></span>  <span class="keyword">typedef</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a29c03901626450cbae77b63e934deb2d">size_type</a>;</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a name="l00273"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a0442c341f3c87c16d92525b4050761ac"> 273</a></span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0442c341f3c87c16d92525b4050761ac">compressed_compressed_matrix</a>() : rows_(0), cols_(0), nonzero_rows_(0), nonzeros_(0) {}</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
<div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#aca924140d542a264eb8e332012be4e37"> 283</a></span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#aca924140d542a264eb8e332012be4e37">compressed_compressed_matrix</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows = 0, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros = 0, <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx = <a class="code" href="classviennacl_1_1context.html">viennacl::context</a>())</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  : rows_(rows), cols_(cols), nonzero_rows_(nonzero_rows), nonzeros_(nonzeros)</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  row_indices_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.memory_type());</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="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">if</span> (ctx.memory_type() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  row_indices_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  elements_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  }</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">if</span> (rows > 0)</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  {</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (rows + 1), ctx);</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">if</span> (nonzeros > 0)</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  {</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * nonzeros, ctx);</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * nonzeros, ctx);</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  }</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> </div>
<div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a87668d00591c7f2807671df4b680dbeb"> 317</a></span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a87668d00591c7f2807671df4b680dbeb">compressed_compressed_matrix</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols, <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx)</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  : rows_(rows), cols_(cols), nonzeros_(0)</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</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>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  elements_.opencl_handle().context(ctx.opencl_context());</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="preprocessor">#endif</span></div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">if</span> (rows > 0)</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>().<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (rows + 1), ctx);</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>  }</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div>
<div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#abe54e0b361e0ebbe6f7615ab1d0cc096"> 338</a></span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#abe54e0b361e0ebbe6f7615ab1d0cc096">compressed_compressed_matrix</a>(<a class="code" href="classviennacl_1_1context.html">viennacl::context</a> ctx) : rows_(0), cols_(0), nonzero_rows_(0), nonzeros_(0)</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  row_indices_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>());</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> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">memory_type</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">OPENCL_MEMORY</a>)</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>  row_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  row_indices_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  col_buffer_.opencl_handle().context(ctx.opencl_context());</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  elements_.opencl_handle().context(ctx.opencl_context());</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> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  }</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">explicit</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0442c341f3c87c16d92525b4050761ac">compressed_compressed_matrix</a>(cl_mem mem_row_buffer, cl_mem mem_row_indices, cl_mem mem_col_buffer, cl_mem mem_elements,</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros) :</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  rows_(rows), cols_(cols), nonzero_rows_(nonzero_rows), nonzeros_(nonzeros)</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>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  row_buffer_.opencl_handle() = mem_row_buffer;</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  row_buffer_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(cl_uint) * (nonzero_rows + 1));</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  row_indices_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  row_indices_.opencl_handle() = mem_row_indices;</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  row_indices_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  row_indices_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(cl_uint) * nonzero_rows);</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  col_buffer_.opencl_handle() = mem_col_buffer;</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  col_buffer_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  col_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(cl_uint) * nonzeros);</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>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">switch_active_handle_id</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>);</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  elements_.opencl_handle() = mem_elements;</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  elements_.opencl_handle().inc(); <span class="comment">//prevents that the user-provided memory is deleted once the matrix object is destroyed.</span></div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  elements_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">raw_size</a>(<span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * nonzeros);</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> </div>
<div class="line"><a name="l00386"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#ab5d869a668ad11b0c75f387f701da7b8"> 386</a></span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#ab5d869a668ad11b0c75f387f701da7b8">operator=</a>(<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html">compressed_compressed_matrix</a> <span class="keyword">const</span> & other)</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>  assert( (rows_ == 0 || rows_ == other.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  assert( (cols_ == 0 || cols_ == other.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>()) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Size mismatch"</span>) );</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>  rows_ = other.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>();</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  cols_ = other.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>();</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  nonzero_rows_ = other.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">nnz1</a>();</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  nonzeros_ = other.<a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d">nnz</a>();</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  viennacl::backend::typesafe_memory_copy<unsigned int>(other.row_buffer_, row_buffer_);</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  viennacl::backend::typesafe_memory_copy<unsigned int>(other.row_indices_, row_indices_);</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  viennacl::backend::typesafe_memory_copy<unsigned int>(other.col_buffer_, col_buffer_);</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  viennacl::backend::typesafe_memory_copy<NumericT>(other.elements_, elements_);</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  }</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> </div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div>
<div class="line"><a name="l00416"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#aca1c507b9689fbc518f7ea50babbf646"> 416</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#aca1c507b9689fbc518f7ea50babbf646">set</a>(<span class="keyword">const</span> <span class="keywordtype">void</span> * row_jumper,</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keyword">const</span> <span class="keywordtype">void</span> * row_indices,</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">const</span> <span class="keywordtype">void</span> * col_buffer,</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * elements,</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows,</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols,</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows,</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros)</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>  assert( (rows > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_compressed_matrix::set(): Number of rows must be larger than zero!"</span>));</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  assert( (cols > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_compressed_matrix::set(): Number of columns must be larger than zero!"</span>));</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  assert( (nonzero_rows > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_compressed_matrix::set(): Number of nonzero rows must be larger than zero!"</span>));</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  assert( (nonzeros > 0) && <span class="keywordtype">bool</span>(<span class="stringliteral">"Error in compressed_compressed_matrix::set(): Number of nonzeros must be larger than zero!"</span>));</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="comment">//std::cout << "Setting memory: " << cols + 1 << ", " << nonzeros << std::endl;</span></div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>(row_buffer_).<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * (nonzero_rows + 1), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_buffer_), row_jumper);</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_indices_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>(row_indices_).<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * nonzero_rows, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_indices_), row_indices);</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a>(col_buffer_).<a class="code" href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">element_size</a>() * nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(col_buffer_), col_buffer);</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * nonzeros, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(elements_), elements);</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  nonzeros_ = nonzeros;</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  nonzero_rows_ = nonzero_rows;</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  rows_ = rows;</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  cols_ = cols;</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="l00443"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#ac376d592c59c8ce6bd16a51541e05f9b"> 443</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#ac376d592c59c8ce6bd16a51541e05f9b">clear</a>()</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>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> host_row_buffer(row_buffer_, rows_ + 1);</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> host_row_indices(row_indices_, rows_ + 1);</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> host_col_buffer(col_buffer_, 1);</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  std::vector<NumericT> host_elements(1);</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_buffer_, host_row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * (rows_ + 1), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_buffer_), host_row_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(row_indices_, host_row_indices.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * (rows_ + 1), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(row_indices_), host_row_indices.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(col_buffer_, host_col_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">element_size</a>() * 1, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(col_buffer_), host_col_buffer.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">get</a>());</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(elements_, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>) * 1, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(elements_), &(host_elements[0]));</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>  nonzeros_ = 0;</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  nonzero_rows_ = 0;</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="l00460"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552"> 460</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">size1</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> rows_; }</div>
<div class="line"><a name="l00462"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf"> 462</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">size2</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> cols_; }</div>
<div class="line"><a name="l00464"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66"> 464</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">nnz1</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> nonzero_rows_; }</div>
<div class="line"><a name="l00466"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d"> 466</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d">nnz</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> nonzeros_; }</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div>
<div class="line"><a name="l00469"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1"> 469</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">handle1</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> row_buffer_; }</div>
<div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398"> 471</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">handle2</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> col_buffer_; }</div>
<div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41"> 473</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41">handle3</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> row_indices_; }</div>
<div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a23111df9ac4134639283ed5a554347f7"> 475</a></span>  <span class="keyword">const</span> <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a23111df9ac4134639283ed5a554347f7">handle</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> elements_; }</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div>
<div class="line"><a name="l00478"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#acab8c1b8a01bced9aa50bfeca13dcb45"> 478</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#acab8c1b8a01bced9aa50bfeca13dcb45">handle1</a>() { <span class="keywordflow">return</span> row_buffer_; }</div>
<div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#ac321b71bc8b5def08ed016c34d531c94"> 480</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#ac321b71bc8b5def08ed016c34d531c94">handle2</a>() { <span class="keywordflow">return</span> col_buffer_; }</div>
<div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a92ab1a4f1d559e1cf784880940613a9b"> 482</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a92ab1a4f1d559e1cf784880940613a9b">handle3</a>() { <span class="keywordflow">return</span> row_indices_; }</div>
<div class="line"><a name="l00484"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#a0202b618aff68cd451b2135381f92f31"> 484</a></span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">handle_type</a> & <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#a0202b618aff68cd451b2135381f92f31">handle</a>() { <span class="keywordflow">return</span> elements_; }</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div>
<div class="line"><a name="l00486"></a><span class="lineno"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#ad2496da0fd10ffceced6940ce7365a9f"> 486</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#ad2496da0fd10ffceced6940ce7365a9f">switch_memory_context</a>(<a class="code" href="classviennacl_1_1context.html">viennacl::context</a> new_ctx)</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  {</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  viennacl::backend::switch_memory_context<unsigned int>(row_buffer_, new_ctx);</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  viennacl::backend::switch_memory_context<unsigned int>(row_indices_, new_ctx);</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  viennacl::backend::switch_memory_context<unsigned int>(col_buffer_, new_ctx);</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  viennacl::backend::switch_memory_context<NumericT>(elements_, new_ctx);</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"><a class="line" href="classviennacl_1_1compressed__compressed__matrix.html#ad739e46ec695791bdb8fef309d001481"> 494</a></span>  <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8">viennacl::memory_types</a> <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#ad739e46ec695791bdb8fef309d001481">memory_context</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">return</span> row_buffer_.<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>();</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span> <span class="keyword">private</span>:</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>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> rows_;</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> cols_;</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzero_rows_;</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> nonzeros_;</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd">handle_type</a> row_buffer_;</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd">handle_type</a> row_indices_;</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd">handle_type</a> col_buffer_;</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <a class="code" href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd">handle_type</a> elements_;</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> </div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> <span class="comment">//</span></div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="comment">// Specify available operations:</span></div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="comment">//</span></div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span> <span class="keyword">namespace </span>linalg</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> <span class="keyword">namespace </span>detail</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>  <span class="comment">// x = A * y</span></div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, <a class="code" href="structop__assign.html">op_assign</a>, vector_expression<const compressed_compressed_matrix<T>, const vector_base<T>, op_prod> ></div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  {</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_compressed_matrix<T>, <span class="keyword">const</span> vector_base<T>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  {</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="comment">// check for the special case x = A * x</span></div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(lhs) == <a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(rhs.rhs()))</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  {</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(lhs);</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), temp, T(0));</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  lhs = temp;</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), lhs, T(0));</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  }</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  };</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> </div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_add, vector_expression<const compressed_compressed_matrix<T>, const vector_base<T>, op_prod> ></div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_compressed_matrix<T>, <span class="keyword">const</span> vector_base<T>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="comment">// check for the special case x += A * x</span></div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(lhs) == <a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(rhs.rhs()))</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  {</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(lhs);</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), temp, T(0));</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  lhs += temp;</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="keywordflow">else</span></div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), lhs, T(1));</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  }</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  };</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_sub, vector_expression<const compressed_compressed_matrix<T>, const vector_base<T>, op_prod> ></div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  {</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_compressed_matrix<T>, <span class="keyword">const</span> vector_base<T>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  {</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="comment">// check for the special case x -= A * x</span></div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">if</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(lhs) == <a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(rhs.rhs()))</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(lhs);</div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(1), temp, T(0));</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  lhs -= temp;</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), rhs.rhs(), T(-1), lhs, T(1));</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  };</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="comment">// x = A * vec_op</span></div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, <a class="code" href="structop__assign.html">op_assign</a>, vector_expression<const compressed_compressed_matrix<T>, const vector_expression<const LHS, const RHS, OP>, op_prod> ></div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  {</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_compressed_matrix<T>, <span class="keyword">const</span> vector_expression<const LHS, const RHS, OP>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(rhs.rhs());</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), temp, lhs);</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>  };</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> </div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="comment">// x = A * vec_op</span></div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_add, vector_expression<const compressed_compressed_matrix<T>, vector_expression<const LHS, const RHS, OP>, op_prod> ></div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  {</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_compressed_matrix<T>, vector_expression<const LHS, const RHS, OP>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  {</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(rhs.rhs(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(rhs));</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp_result(lhs);</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), temp, temp_result);</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  lhs += temp_result;</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>  };</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span> </div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="comment">// x = A * vec_op</span></div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> LHS, <span class="keyword">typename</span> RHS, <span class="keyword">typename</span> OP></div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keyword">struct </span>op_executor<vector_base<T>, op_inplace_sub, vector_expression<const compressed_compressed_matrix<T>, const vector_expression<const LHS, const RHS, OP>, op_prod> ></div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  {</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> apply(vector_base<T> & lhs, vector_expression<<span class="keyword">const</span> compressed_compressed_matrix<T>, <span class="keyword">const</span> vector_expression<const LHS, const RHS, OP>, op_prod> <span class="keyword">const</span> & rhs)</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  {</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp(rhs.rhs(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(rhs));</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<T></a> temp_result(lhs);</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a>(rhs.lhs(), temp, temp_result);</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  lhs -= temp_result;</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>  };</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span> } <span class="comment">// namespace detail</span></div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span> } <span class="comment">// namespace linalg</span></div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span> </div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span> }</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_af8c33c3b9c756aeae18d2028da577b7d"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#af8c33c3b9c756aeae18d2028da577b7d">viennacl::compressed_compressed_matrix::nnz</a></div><div class="ttdeci">const vcl_size_t & nnz() const </div><div class="ttdoc">Returns the number of nonzero entries. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00466">compressed_compressed_matrix.hpp:466</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array</a></div><div class="ttdoc">Helper class implementing an array on the host. Default case: No conversion necessary. </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00092">util.hpp:92</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_ac8646f4841c47048a1d2e004b9536af8"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac8646f4841c47048a1d2e004b9536af8">viennacl::backend::typesafe_host_array::element_size</a></div><div class="ttdeci">vcl_size_t element_size() const </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00112">util.hpp:112</a></div></div>
<div class="ttc" id="classviennacl_1_1scalar_html"><div class="ttname"><a href="classviennacl_1_1scalar.html">viennacl::scalar</a></div><div class="ttdoc">This class represents a single scalar value on the GPU and behaves mostly like a built-in scalar type...</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00227">forwards.h:227</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_ae1aa2f141a77a8a7d9d052c7917ec848"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#ae1aa2f141a77a8a7d9d052c7917ec848">viennacl::compressed_compressed_matrix::value_type</a></div><div class="ttdeci">scalar< typename viennacl::tools::CHECK_SCALAR_TEMPLATE_ARGUMENT< NumericT >::ResultType > value_type</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00269">compressed_compressed_matrix.hpp:269</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_ad2496da0fd10ffceced6940ce7365a9f"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#ad2496da0fd10ffceced6940ce7365a9f">viennacl::compressed_compressed_matrix::switch_memory_context</a></div><div class="ttdeci">void switch_memory_context(viennacl::context new_ctx)</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00486">compressed_compressed_matrix.hpp:486</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_aca1c507b9689fbc518f7ea50babbf646"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#aca1c507b9689fbc518f7ea50babbf646">viennacl::compressed_compressed_matrix::set</a></div><div class="ttdeci">void set(const void *row_jumper, const void *row_indices, const void *col_buffer, const NumericT *elements, vcl_size_t rows, vcl_size_t cols, vcl_size_t nonzero_rows, vcl_size_t nonzeros)</div><div class="ttdoc">Sets the row, column and value arrays of the compressed matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00416">compressed_compressed_matrix.hpp:416</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a32ae0103d43a2bff758311ee6e1e6398"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a32ae0103d43a2bff758311ee6e1e6398">viennacl::compressed_compressed_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00471">compressed_compressed_matrix.hpp:471</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a8c7f79de732939935e0b0800fb5d3ff1"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a8c7f79de732939935e0b0800fb5d3ff1">viennacl::compressed_compressed_matrix::handle1</a></div><div class="ttdeci">const handle_type & handle1() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00469">compressed_compressed_matrix.hpp:469</a></div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa756f5d6820722094cae0d8b9bb6d5e2"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a></div><div class="ttdeci">vcl_size_t size1(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of rows of a matrix (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00163">size.hpp:163</a></div></div>
<div class="ttc" id="entry__proxy_8hpp_html"><div class="ttname"><a href="entry__proxy_8hpp.html">entry_proxy.hpp</a></div><div class="ttdoc">A proxy class for entries in a vector. </div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00349">forwards.h:349</a></div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_a1727eeb845f50cf5bd51ef54c5938b8c"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#a1727eeb845f50cf5bd51ef54c5938b8c">viennacl::backend::typesafe_host_array::get</a></div><div class="ttdeci">void * get()</div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00110">util.hpp:110</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a62854cfd6f04404b274f8ede36f63e2d"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a></div><div class="ttdeci">void memory_read(mem_handle const &src_buffer, vcl_size_t src_offset, vcl_size_t bytes_to_read, void *ptr, bool async=false)</div><div class="ttdoc">Reads data from a buffer back to main RAM. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00261">memory.hpp:261</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a3658e7c29ac0f60a20cb5871f5b5fd98"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a></div><div class="ttdeci">result_of::size_type< MatrixType >::type size2(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of columns of a matrix (ViennaCL, uBLAS, etc...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00201">size.hpp:201</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a92ab1a4f1d559e1cf784880940613a9b"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a92ab1a4f1d559e1cf784880940613a9b">viennacl::compressed_compressed_matrix::handle3</a></div><div class="ttdeci">handle_type & handle3()</div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00482">compressed_compressed_matrix.hpp:482</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_1_1detail_html_af9f9cc6c50debc5b1d93e458d1fd392a"><div class="ttname"><a href="namespaceviennacl_1_1backend_1_1detail.html#af9f9cc6c50debc5b1d93e458d1fd392a">viennacl::backend::detail::element_size</a></div><div class="ttdeci">vcl_size_t element_size(memory_types)</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00299">memory.hpp:299</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="classviennacl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1context.html">viennacl::context</a></div><div class="ttdoc">Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also su...</div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00039">context.hpp:39</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a23111df9ac4134639283ed5a554347f7"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a23111df9ac4134639283ed5a554347f7">viennacl::compressed_compressed_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00475">compressed_compressed_matrix.hpp:475</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa2344ea20469f55fbc15a8e9526494d0"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a></div><div class="ttdeci">vcl_size_t size(VectorType const &vec)</div><div class="ttdoc">Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00239">size.hpp:239</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a0202b618aff68cd451b2135381f92f31"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a0202b618aff68cd451b2135381f92f31">viennacl::compressed_compressed_matrix::handle</a></div><div class="ttdeci">handle_type & handle()</div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00484">compressed_compressed_matrix.hpp:484</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a2abb84065f499162239038c7efef5e41"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a2abb84065f499162239038c7efef5e41">viennacl::compressed_compressed_matrix::handle3</a></div><div class="ttdeci">const handle_type & handle3() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00473">compressed_compressed_matrix.hpp:473</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html">viennacl::compressed_compressed_matrix</a></div><div class="ttdoc">A sparse square matrix in compressed sparse rows format optimized for the case that only a few rows c...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00265">compressed_compressed_matrix.hpp:265</a></div></div>
<div class="ttc" id="sparse__matrix__operations_8hpp_html"><div class="ttname"><a href="sparse__matrix__operations_8hpp.html">sparse_matrix_operations.hpp</a></div><div class="ttdoc">Implementations of operations using sparse matrices. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_abe54e0b361e0ebbe6f7615ab1d0cc096"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#abe54e0b361e0ebbe6f7615ab1d0cc096">viennacl::compressed_compressed_matrix::compressed_compressed_matrix</a></div><div class="ttdeci">compressed_compressed_matrix(viennacl::context ctx)</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00338">compressed_compressed_matrix.hpp:338</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_aca924140d542a264eb8e332012be4e37"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#aca924140d542a264eb8e332012be4e37">viennacl::compressed_compressed_matrix::compressed_compressed_matrix</a></div><div class="ttdeci">compressed_compressed_matrix(vcl_size_t rows, vcl_size_t cols, vcl_size_t nonzero_rows=0, vcl_size_t nonzeros=0, viennacl::context ctx=viennacl::context())</div><div class="ttdoc">Construction of a compressed matrix with the supplied number of rows and columns. If the number of no...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00283">compressed_compressed_matrix.hpp:283</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_ab5d869a668ad11b0c75f387f701da7b8"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#ab5d869a668ad11b0c75f387f701da7b8">viennacl::compressed_compressed_matrix::operator=</a></div><div class="ttdeci">compressed_compressed_matrix & operator=(compressed_compressed_matrix const &other)</div><div class="ttdoc">Assignment a compressed matrix from possibly another memory domain. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00386">compressed_compressed_matrix.hpp:386</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_ac376d592c59c8ce6bd16a51541e05f9b"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#ac376d592c59c8ce6bd16a51541e05f9b">viennacl::compressed_compressed_matrix::clear</a></div><div class="ttdeci">void clear()</div><div class="ttdoc">Resets all entries in the matrix back to zero without changing the matrix size. Resets the sparsity p...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00443">compressed_compressed_matrix.hpp:443</a></div></div>
<div class="ttc" id="classviennacl_1_1tools_1_1const__sparse__matrix__adapter_html"><div class="ttname"><a href="classviennacl_1_1tools_1_1const__sparse__matrix__adapter.html">viennacl::tools::const_sparse_matrix_adapter</a></div><div class="ttdoc">Adapts a constant sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic ub...</div><div class="ttdef"><b>Definition:</b> <a href="adapter_8hpp_source.html#l00183">adapter.hpp:183</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_adbb869c4162febc6b440fa572a3aedaf"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#adbb869c4162febc6b440fa572a3aedaf">viennacl::compressed_compressed_matrix::size2</a></div><div class="ttdeci">const vcl_size_t & size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00462">compressed_compressed_matrix.hpp:462</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a98a0afcc513111ffa0bd138f891930df"><div class="ttname"><a href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">viennacl::vcl_size_t</a></div><div class="ttdeci">std::size_t vcl_size_t</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00075">forwards.h:75</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00266">forwards.h:266</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a626814b7299e8fd8888d71780a386552"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a626814b7299e8fd8888d71780a386552">viennacl::compressed_compressed_matrix::size1</a></div><div class="ttdeci">const vcl_size_t & size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00460">compressed_compressed_matrix.hpp:460</a></div></div>
<div class="ttc" id="classviennacl_1_1context_html_aadf575d49ed144e8fa4707cdad69c349"><div class="ttname"><a href="classviennacl_1_1context.html#aadf575d49ed144e8fa4707cdad69c349">viennacl::context::memory_type</a></div><div class="ttdeci">viennacl::memory_types memory_type() const </div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00076">context.hpp:76</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1detail_html_a4b65590ba7d3edb355ff50e46ea26195"><div class="ttname"><a href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a></div><div class="ttdeci">void copy_impl(const CPUMatrixT &cpu_matrix, compressed_compressed_matrix< NumericT > &gpu_matrix, vcl_size_t nonzero_rows, vcl_size_t nonzeros)</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00041">compressed_compressed_matrix.hpp:41</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_ac13e99f562746d6682116dec1e13a7da"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#ac13e99f562746d6682116dec1e13a7da">viennacl::backend::mem_handle::switch_active_handle_id</a></div><div class="ttdeci">void switch_active_handle_id(memory_types new_id)</div><div class="ttdoc">Switches the currently active handle. If no support for that backend is provided, an exception is thr...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00121">mem_handle.hpp:121</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a6707f5dab8f482170d2046a605f46ef8"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a></div><div class="ttdeci">viennacl::context context(T const &t)</div><div class="ttdoc">Returns an ID for the currently active memory domain of an object. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2context_8hpp_source.html#l00040">context.hpp:40</a></div></div>
<div class="ttc" id="vector_8hpp_html"><div class="ttname"><a href="vector_8hpp.html">vector.hpp</a></div><div class="ttdoc">The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...</div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_ac321b71bc8b5def08ed016c34d531c94"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#ac321b71bc8b5def08ed016c34d531c94">viennacl::compressed_compressed_matrix::handle2</a></div><div class="ttdeci">handle_type & handle2()</div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00480">compressed_compressed_matrix.hpp:480</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a10b7f8cf6b8864a7aa196d670481a453"><div class="ttname"><a href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a></div><div class="ttdeci">void copy(std::vector< NumericT > &cpu_vec, circulant_matrix< NumericT, AlignmentV > &gpu_mat)</div><div class="ttdoc">Copies a circulant matrix from the std::vector to the OpenCL device (either GPU or multi-core CPU) ...</div><div class="ttdef"><b>Definition:</b> <a href="circulant__matrix_8hpp_source.html#l00150">circulant_matrix.hpp:150</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a0ef5813f941dfd2db310be6d35c4ef66"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a0ef5813f941dfd2db310be6d35c4ef66">viennacl::compressed_compressed_matrix::nnz1</a></div><div class="ttdeci">const vcl_size_t & nnz1() const </div><div class="ttdoc">Returns the number of nonzero entries. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00464">compressed_compressed_matrix.hpp:464</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a></div><div class="ttdoc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00089">mem_handle.hpp:89</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_ac8373f0d899b89c843e14de4cb7a1c4a"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#ac8373f0d899b89c843e14de4cb7a1c4a">viennacl::backend::mem_handle::raw_size</a></div><div class="ttdeci">vcl_size_t raw_size() const </div><div class="ttdoc">Returns the number of bytes of the currently active buffer. </div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00230">mem_handle.hpp:230</a></div></div>
<div class="ttc" id="classviennacl_1_1tools_1_1sparse__matrix__adapter_html"><div class="ttname"><a href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html">viennacl::tools::sparse_matrix_adapter</a></div><div class="ttdoc">Adapts a non-const sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic u...</div><div class="ttdef"><b>Definition:</b> <a href="adapter_8hpp_source.html#l00357">adapter.hpp:357</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a1499f19634964e2c7c8aeeefc6206126"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a></div><div class="ttdeci">void memory_create(mem_handle &handle, vcl_size_t size_in_bytes, viennacl::context const &ctx, const void *host_ptr=NULL)</div><div class="ttdoc">Creates an array of the specified size. If the second argument is provided, the buffer is initialized...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00087">memory.hpp:87</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_ad739e46ec695791bdb8fef309d001481"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#ad739e46ec695791bdb8fef309d001481">viennacl::compressed_compressed_matrix::memory_context</a></div><div class="ttdeci">viennacl::memory_types memory_context() const </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00494">compressed_compressed_matrix.hpp:494</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aafc6db8d806f67c24f93eaaded84b853"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aafc6db8d806f67c24f93eaaded84b853">viennacl::linalg::prod_impl</a></div><div class="ttdeci">void prod_impl(const matrix_base< NumericT > &mat, const vector_base< NumericT > &vec, vector_base< NumericT > &result)</div><div class="ttdoc">Carries out matrix-vector multiplication. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__operations_8hpp_source.html#l00438">matrix_operations.hpp:438</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ae39853b7f291a697e119a139439178fb"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a></div><div class="ttdeci">viennacl::backend::mem_handle & handle(T &obj)</div><div class="ttdoc">Returns the generic memory handle of an object. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2handle_8hpp_source.html#l00041">handle.hpp:41</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8">viennacl::memory_types</a></div><div class="ttdeci">memory_types</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00345">forwards.h:345</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a0442c341f3c87c16d92525b4050761ac"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a0442c341f3c87c16d92525b4050761ac">viennacl::compressed_compressed_matrix::compressed_compressed_matrix</a></div><div class="ttdeci">compressed_compressed_matrix()</div><div class="ttdoc">Default construction of a compressed matrix. No memory is allocated. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00273">compressed_compressed_matrix.hpp:273</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a87668d00591c7f2807671df4b680dbeb"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a87668d00591c7f2807671df4b680dbeb">viennacl::compressed_compressed_matrix::compressed_compressed_matrix</a></div><div class="ttdeci">compressed_compressed_matrix(vcl_size_t rows, vcl_size_t cols, viennacl::context ctx)</div><div class="ttdoc">Construction of a compressed matrix with the supplied number of rows and columns. If the number of no...</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00317">compressed_compressed_matrix.hpp:317</a></div></div>
<div class="ttc" id="structop__assign_html"><div class="ttname"><a href="structop__assign.html">op_assign</a></div><div class="ttdef"><b>Definition:</b> <a href="self__assign_8cpp_source.html#l00132">self_assign.cpp:132</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_af1a21e5194db20daafd101781e2dd2cd"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#af1a21e5194db20daafd101781e2dd2cd">viennacl::compressed_compressed_matrix::handle_type</a></div><div class="ttdeci">viennacl::backend::mem_handle handle_type</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00268">compressed_compressed_matrix.hpp:268</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_a29c03901626450cbae77b63e934deb2d"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#a29c03901626450cbae77b63e934deb2d">viennacl::compressed_compressed_matrix::size_type</a></div><div class="ttdeci">vcl_size_t size_type</div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00270">compressed_compressed_matrix.hpp:270</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_a5951aceb881068a77b4af8825b547ea3"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">viennacl::backend::mem_handle::get_active_handle_id</a></div><div class="ttdeci">memory_types get_active_handle_id() const </div><div class="ttdoc">Returns an ID for the currently active memory buffer. Other memory buffers might contain old or no da...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00118">mem_handle.hpp:118</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__compressed__matrix_html_acab8c1b8a01bced9aa50bfeca13dcb45"><div class="ttname"><a href="classviennacl_1_1compressed__compressed__matrix.html#acab8c1b8a01bced9aa50bfeca13dcb45">viennacl::compressed_compressed_matrix::handle1</a></div><div class="ttdeci">handle_type & handle1()</div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__compressed__matrix_8hpp_source.html#l00478">compressed_compressed_matrix.hpp:478</a></div></div>
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