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<div class="title">iterative_operations.hpp</div> </div>
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<a href="iterative__operations_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_LINALG_ITERATIVE_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_ITERATIVE_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="range_8hpp.html">viennacl/range.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="predicate_8hpp.html">viennacl/meta/predicate.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="enable__if_8hpp.html">viennacl/meta/enable_if.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="size_8hpp.html">viennacl/traits/size.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="start_8hpp.html">viennacl/traits/start.hpp</a>"</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="traits_2handle_8hpp.html">viennacl/traits/handle.hpp</a>"</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="stride_8hpp.html">viennacl/traits/stride.hpp</a>"</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="host__based_2iterative__operations_8hpp.html">viennacl/linalg/host_based/iterative_operations.hpp</a>"</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor"> #include "<a class="code" href="opencl_2iterative__operations_8hpp.html">viennacl/linalg/opencl/iterative_operations.hpp</a>"</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor"> #include "<a class="code" href="cuda_2iterative__operations_8hpp.html">viennacl/linalg/cuda/iterative_operations.hpp</a>"</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ad5aba6fa27cb6e14b04f527c64a10196"> 59</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#ad5aba6fa27cb6e14b04f527c64a10196">pipelined_cg_vector_update</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & result,</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha,</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & p,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & r,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & Ap,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & inner_prod_buffer)</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>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(result).get_active_handle_id())</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#aa1f80e9f52a434ea819a0a38c91223a4">viennacl::linalg::host_based::pipelined_cg_vector_update</a>(result, alpha, p, r, Ap, beta, inner_prod_buffer);</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0e7a262c0237222d9f9dc38b66a2a241">viennacl::linalg::opencl::pipelined_cg_vector_update</a>(result, alpha, p, r, Ap, beta, inner_prod_buffer);</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#aedeca519719a2fcd21198220cb2f05f2">viennacl::linalg::cuda::pipelined_cg_vector_update</a>(result, alpha, p, r, Ap, beta, inner_prod_buffer);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  }</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a1cde61c393aa96dbf2fe6f32462b18c0"> 97</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a1cde61c393aa96dbf2fe6f32462b18c0">pipelined_cg_prod</a>(MatrixT <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & p,</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & Ap,</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & inner_prod_buffer)</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(p).get_active_handle_id())</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a9cca5888f4345b3b4f3339c74dbf9042">viennacl::linalg::host_based::pipelined_cg_prod</a>(A, p, Ap, inner_prod_buffer);</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a042962f819feb720caace79aa6dc204c">viennacl::linalg::opencl::pipelined_cg_prod</a>(A, p, Ap, inner_prod_buffer);</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a69f7e032f6d9f6cbd97fd7516940af97">viennacl::linalg::cuda::pipelined_cg_prod</a>(A, p, Ap, inner_prod_buffer);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a53f4ef640389f9a074761824cb29ac43"> 134</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a53f4ef640389f9a074761824cb29ac43">pipelined_bicgstab_update_s</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & s,</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & r,</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & Ap,</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & inner_prod_buffer,</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_size,</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_offset)</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>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(s).get_active_handle_id())</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ac1b61075d4b2a3d605fb08dc0dca95ea">viennacl::linalg::host_based::pipelined_bicgstab_update_s</a>(s, r, Ap, inner_prod_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#af5b89eb71abc46bd4b311824510b0c0e">viennacl::linalg::opencl::pipelined_bicgstab_update_s</a>(s, r, Ap, inner_prod_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a494ed2f09e16bd3c526e11614760ad1d">viennacl::linalg::cuda::pipelined_bicgstab_update_s</a>(s, r, Ap, inner_prod_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span> }</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a793be26a151c2fa6c7478143cdc75bfe"> 171</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a793be26a151c2fa6c7478143cdc75bfe">pipelined_bicgstab_vector_update</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & result, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> alpha, <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & p, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> omega, <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & s,</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & residual, <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & As,</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> beta, <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & Ap,</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & r0star,</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & inner_prod_buffer,</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_size)</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>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(s).get_active_handle_id())</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ae379e200baf8decb11531e9284252bd8">viennacl::linalg::host_based::pipelined_bicgstab_vector_update</a>(result, alpha, p, omega, s, residual, As, beta, Ap, r0star, inner_prod_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="preprocessor"> #ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a39cd29b90bcdc32c34a53887787b0108">viennacl::linalg::opencl::pipelined_bicgstab_vector_update</a>(result, alpha, p, omega, s, residual, As, beta, Ap, r0star, inner_prod_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="preprocessor"> #ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ab06346505de4a3b8bf2a1ff523622903">viennacl::linalg::cuda::pipelined_bicgstab_vector_update</a>(result, alpha, p, omega, s, residual, As, beta, Ap, r0star, inner_prod_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="preprocessor"> #endif</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#ab66c2c1f1a8eb05b116d9b1274243b38"> 208</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#ab66c2c1f1a8eb05b116d9b1274243b38">pipelined_bicgstab_prod</a>(MatrixT <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & p,</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & Ap,</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> <span class="keyword">const</span> & r0star,</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<NumericT></a> & inner_prod_buffer,</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_size,</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_offset)</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(p).get_active_handle_id())</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#ac78885423ca2ebe2205b29a213883c61">viennacl::linalg::host_based::pipelined_bicgstab_prod</a>(A, p, Ap, r0star, inner_prod_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ad941d6a75fcdcd7691be5b41a73eaa15">viennacl::linalg::opencl::pipelined_bicgstab_prod</a>(A, p, Ap, r0star, inner_prod_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ae0d31ed131e01b317f245b01d1b860a0">viennacl::linalg::cuda::pipelined_bicgstab_prod</a>(A, p, Ap, r0star, inner_prod_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</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="l00239"></a><span class="lineno"> 239</span> </div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00248"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#aaca868298580acb7df97aff002bf6867"> 248</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#aaca868298580acb7df97aff002bf6867">pipelined_gmres_normalize_vk</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & v_k,</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & residual,</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & R_buffer,</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> offset_in_R,</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & inner_prod_buffer,</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & r_dot_vk_buffer,</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_size,</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_offset)</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> {</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(v_k).get_active_handle_id())</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#abb2b03970007010e3989b6474d5c8061">viennacl::linalg::host_based::pipelined_gmres_normalize_vk</a>(v_k, residual, R_buffer, offset_in_R, inner_prod_buffer, r_dot_vk_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a90b7869524040319393eccfc821918aa">viennacl::linalg::opencl::pipelined_gmres_normalize_vk</a>(v_k, residual, R_buffer, offset_in_R, inner_prod_buffer, r_dot_vk_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a2210bf2052e1542a16afd8e7bb36c8aa">viennacl::linalg::cuda::pipelined_gmres_normalize_vk</a>(v_k, residual, R_buffer, offset_in_R, inner_prod_buffer, r_dot_vk_buffer, buffer_chunk_size, buffer_chunk_offset);</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a26e6e73c2c27a83fa958ca25e468b8ad"> 286</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a26e6e73c2c27a83fa958ca25e468b8ad">pipelined_gmres_gram_schmidt_stage1</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & device_krylov_basis,</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> v_k_size,</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> v_k_internal_size,</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> k,</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & vi_in_vk_buffer,</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_size)</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> {</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(device_krylov_basis).get_active_handle_id())</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#aa17b7680809f798794a5c2dc863931a6">viennacl::linalg::host_based::pipelined_gmres_gram_schmidt_stage1</a>(device_krylov_basis, v_k_size, v_k_internal_size, k, vi_in_vk_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a99d7431780543d40b2fc7a260f6a1d31">viennacl::linalg::opencl::pipelined_gmres_gram_schmidt_stage1</a>(device_krylov_basis, v_k_size, v_k_internal_size, k, vi_in_vk_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#af8a1bdfc669f947e93987f66d3090172">viennacl::linalg::cuda::pipelined_gmres_gram_schmidt_stage1</a>(device_krylov_basis, v_k_size, v_k_internal_size, k, vi_in_vk_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  }</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> }</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a39b768f9d8385b980d2e5e9073d09530"> 321</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a39b768f9d8385b980d2e5e9073d09530">pipelined_gmres_gram_schmidt_stage2</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & device_krylov_basis,</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> v_k_size,</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> v_k_internal_size,</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> k,</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & vi_in_vk_buffer,</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & R_buffer,</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> krylov_dim,</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & inner_prod_buffer,</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> buffer_chunk_size)</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="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(device_krylov_basis).get_active_handle_id())</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#a8e4aac801d1aeb7868dad15fc9691485">viennacl::linalg::host_based::pipelined_gmres_gram_schmidt_stage2</a>(device_krylov_basis, v_k_size, v_k_internal_size, k, vi_in_vk_buffer, R_buffer, krylov_dim, inner_prod_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a500bc82556ca654ed2fcf54d2880e58a">viennacl::linalg::opencl::pipelined_gmres_gram_schmidt_stage2</a>(device_krylov_basis, v_k_size, v_k_internal_size, k, vi_in_vk_buffer, R_buffer, krylov_dim, inner_prod_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#ad40f19322bc978ffba33972c6f63ff48">viennacl::linalg::cuda::pipelined_gmres_gram_schmidt_stage2</a>(device_krylov_basis, v_k_size, v_k_internal_size, k, vi_in_vk_buffer, R_buffer, krylov_dim, inner_prod_buffer, buffer_chunk_size);</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> }</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00356"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a8783d68cc82f47d4862d7bb77bed2bab"> 356</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a8783d68cc82f47d4862d7bb77bed2bab">pipelined_gmres_update_result</a>(<a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & result,</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & residual,</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & krylov_basis,</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> v_k_size,</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> v_k_internal_size,</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & coefficients,</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> k)</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(result).get_active_handle_id())</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#af497e625d846f3e219b9467b82cda386">viennacl::linalg::host_based::pipelined_gmres_update_result</a>(result, residual, krylov_basis, v_k_size, v_k_internal_size, coefficients, k);</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ae6c44ba1bb74bdab61b795245b494729">viennacl::linalg::opencl::pipelined_gmres_update_result</a>(result, residual, krylov_basis, v_k_size, v_k_internal_size, coefficients, k);</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a3b065fddd315cb32350283afd116cf5b">viennacl::linalg::cuda::pipelined_gmres_update_result</a>(result, residual, krylov_basis, v_k_size, v_k_internal_size, coefficients, k);</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="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="l00385"></a><span class="lineno"> 385</span> </div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> <span class="keyword">template</span> <<span class="keyword">typename</span> MatrixType, <span class="keyword">typename</span> T></div>
<div class="line"><a name="l00393"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a6faa475e03dfe776021e91f5a66f9319"> 393</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a6faa475e03dfe776021e91f5a66f9319">pipelined_gmres_prod</a>(MatrixType <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> <span class="keyword">const</span> & p,</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & Ap,</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="classviennacl_1_1vector__base.html">vector_base<T></a> & inner_prod_buffer)</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> {</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">switch</span> (<a class="code" href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a>(p).get_active_handle_id())</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>:</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based.html#aeb57ebff0a27bc75b9340df9a99bf155">viennacl::linalg::host_based::pipelined_gmres_prod</a>(A, p, Ap, inner_prod_buffer);</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a>:</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a9415aa45a78c82eae3927ac06d88128a">viennacl::linalg::opencl::pipelined_gmres_prod</a>(A, p, Ap, inner_prod_buffer);</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>:</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1cuda.html#a9ab90f6c8f9931ad766cc757e3d52f6b">viennacl::linalg::cuda::pipelined_gmres_prod</a>(A, p, Ap, inner_prod_buffer);</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">case</span> <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a>:</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not initialised!"</span>);</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">throw</span> <a class="code" href="classviennacl_1_1memory__exception.html">memory_exception</a>(<span class="stringliteral">"not implemented"</span>);</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  }</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span> }</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_abb2b03970007010e3989b6474d5c8061"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#abb2b03970007010e3989b6474d5c8061">viennacl::linalg::host_based::pipelined_gmres_normalize_vk</a></div><div class="ttdeci">void pipelined_gmres_normalize_vk(vector_base< T > &v_k, vector_base< T > const &residual, vector_base< T > &R_buffer, vcl_size_t offset_in_R, vector_base< T > const &inner_prod_buffer, vector_base< T > &r_dot_vk_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a vector normalization needed for an efficient pipelined GMRES algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00711">iterative_operations.hpp:711</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ad941d6a75fcdcd7691be5b41a73eaa15"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ad941d6a75fcdcd7691be5b41a73eaa15">viennacl::linalg::opencl::pipelined_bicgstab_prod</a></div><div class="ttdeci">void pipelined_bicgstab_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00360">iterative_operations.hpp:360</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_af8a1bdfc669f947e93987f66d3090172"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#af8a1bdfc669f947e93987f66d3090172">viennacl::linalg::cuda::pipelined_gmres_gram_schmidt_stage1</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage1(vector_base< T > const &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t param_k, vector_base< T > &vi_in_vk_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l01738">iterative_operations.hpp:1738</a></div></div>
<div class="ttc" id="classviennacl_1_1memory__exception_html"><div class="ttname"><a href="classviennacl_1_1memory__exception.html">viennacl::memory_exception</a></div><div class="ttdoc">Exception class in case of memory errors. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00572">forwards.h:572</a></div></div>
<div class="ttc" id="size_8hpp_html"><div class="ttname"><a href="size_8hpp.html">size.hpp</a></div><div class="ttdoc">Generic size and resize functionality for different vector and matrix types. </div></div>
<div class="ttc" id="start_8hpp_html"><div class="ttname"><a href="start_8hpp.html">start.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL start index handle from a vector, a matrix, an expression etc...</div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a26e6e73c2c27a83fa958ca25e468b8ad"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a26e6e73c2c27a83fa958ca25e468b8ad">viennacl::linalg::pipelined_gmres_gram_schmidt_stage1</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage1(vector_base< T > const &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t k, vector_base< T > &vi_in_vk_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdoc">Computes the first reduction stage for multiple inner products <v_i, v_k>, i=0..k-1. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00286">iterative_operations.hpp:286</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a8783d68cc82f47d4862d7bb77bed2bab"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a8783d68cc82f47d4862d7bb77bed2bab">viennacl::linalg::pipelined_gmres_update_result</a></div><div class="ttdeci">void pipelined_gmres_update_result(vector_base< T > &result, vector_base< T > const &residual, vector_base< T > const &krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vector_base< T > const &coefficients, vcl_size_t k)</div><div class="ttdoc">Computes x += eta_0 r + sum_{i=1}^{k-1} eta_i v_{i-1}. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00356">iterative_operations.hpp:356</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a39b768f9d8385b980d2e5e9073d09530"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a39b768f9d8385b980d2e5e9073d09530">viennacl::linalg::pipelined_gmres_gram_schmidt_stage2</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage2(vector_base< T > &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t k, vector_base< T > const &vi_in_vk_buffer, vector_base< T > &R_buffer, vcl_size_t krylov_dim, vector_base< T > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdoc">Computes the second reduction stage for multiple inner products <v_i, v_k>, i=0..k-1, then updates v_k -= <v_i, v_k> v_i and computes the first reduction stage for ||v_k||. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00321">iterative_operations.hpp:321</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8adb37af613f34867568e4f6cf720c68b1">viennacl::OPENCL_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00349">forwards.h:349</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_aa1f80e9f52a434ea819a0a38c91223a4"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#aa1f80e9f52a434ea819a0a38c91223a4">viennacl::linalg::host_based::pipelined_cg_vector_update</a></div><div class="ttdeci">void pipelined_cg_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, NumericT beta, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined CG algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00367">iterative_operations.hpp:367</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a69f7e032f6d9f6cbd97fd7516940af97"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a69f7e032f6d9f6cbd97fd7516940af97">viennacl::linalg::cuda::pipelined_cg_prod</a></div><div class="ttdeci">void pipelined_cg_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l00280">iterative_operations.hpp:280</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a8e4aac801d1aeb7868dad15fc9691485"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a8e4aac801d1aeb7868dad15fc9691485">viennacl::linalg::host_based::pipelined_gmres_gram_schmidt_stage2</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage2(vector_base< T > &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t k, vector_base< T > const &vi_in_vk_buffer, vector_base< T > &R_buffer, vcl_size_t krylov_dim, vector_base< T > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdoc">Computes the second reduction stage for multiple inner products <v_i, v_k>, i=0..k-1, then updates v_k -= <v_i, v_k> v_i and computes the first reduction stage for ||v_k||. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00792">iterative_operations.hpp:792</a></div></div>
<div class="ttc" id="host__based_2iterative__operations_8hpp_html"><div class="ttname"><a href="host__based_2iterative__operations_8hpp.html">iterative_operations.hpp</a></div><div class="ttdoc">Implementations of specialized kernels for fast iterative solvers using OpenMP on the CPU...</div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a500bc82556ca654ed2fcf54d2880e58a"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a500bc82556ca654ed2fcf54d2880e58a">viennacl::linalg::opencl::pipelined_gmres_gram_schmidt_stage2</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage2(vector_base< T > &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t param_k, vector_base< T > const &vi_in_vk_buffer, vector_base< T > &R_buffer, vcl_size_t krylov_dim, vector_base< T > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00667">iterative_operations.hpp:667</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="namespaceviennacl_1_1linalg_1_1cuda_html_a2210bf2052e1542a16afd8e7bb36c8aa"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a2210bf2052e1542a16afd8e7bb36c8aa">viennacl::linalg::cuda::pipelined_gmres_normalize_vk</a></div><div class="ttdeci">void pipelined_gmres_normalize_vk(vector_base< T > &v_k, vector_base< T > const &residual, vector_base< T > &R_buffer, vcl_size_t offset_in_R, vector_base< T > const &inner_prod_buffer, vector_base< T > &r_dot_vk_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a vector normalization needed for an efficient pipelined GMRES algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l01660">iterative_operations.hpp:1660</a></div></div>
<div class="ttc" id="stride_8hpp_html"><div class="ttname"><a href="stride_8hpp.html">stride.hpp</a></div><div class="ttdoc">Determines row and column increments for matrices and matrix proxies. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_ad5aba6fa27cb6e14b04f527c64a10196"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#ad5aba6fa27cb6e14b04f527c64a10196">viennacl::linalg::pipelined_cg_vector_update</a></div><div class="ttdeci">void pipelined_cg_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, NumericT beta, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined CG algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00059">iterative_operations.hpp:59</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ae0d31ed131e01b317f245b01d1b860a0"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ae0d31ed131e01b317f245b01d1b860a0">viennacl::linalg::cuda::pipelined_bicgstab_prod</a></div><div class="ttdeci">void pipelined_bicgstab_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l01080">iterative_operations.hpp:1080</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a90b7869524040319393eccfc821918aa"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a90b7869524040319393eccfc821918aa">viennacl::linalg::opencl::pipelined_gmres_normalize_vk</a></div><div class="ttdeci">void pipelined_gmres_normalize_vk(vector_base< T > &v_k, vector_base< T > const &residual, vector_base< T > &R_buffer, vcl_size_t offset_in_R, vector_base< T > const &inner_prod_buffer, vector_base< T > &r_dot_vk_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a vector normalization needed for an efficient pipelined GMRES algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00609">iterative_operations.hpp:609</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_ac78885423ca2ebe2205b29a213883c61"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#ac78885423ca2ebe2205b29a213883c61">viennacl::linalg::host_based::pipelined_bicgstab_prod</a></div><div class="ttdeci">void pipelined_bicgstab_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a fused matrix-vector product with a compressed_matrix for an efficient pipelined BiCGStab a...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00607">iterative_operations.hpp:607</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a1cde61c393aa96dbf2fe6f32462b18c0"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a1cde61c393aa96dbf2fe6f32462b18c0">viennacl::linalg::pipelined_cg_prod</a></div><div class="ttdeci">void pipelined_cg_prod(MatrixT const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined CG algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00097">iterative_operations.hpp:97</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_ae379e200baf8decb11531e9284252bd8"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#ae379e200baf8decb11531e9284252bd8">viennacl::linalg::host_based::pipelined_bicgstab_vector_update</a></div><div class="ttdeci">void pipelined_bicgstab_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, NumericT omega, vector_base< NumericT > const &s, vector_base< NumericT > &residual, vector_base< NumericT > const &As, NumericT beta, vector_base< NumericT > const &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined BiCGStab algorithm...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00554">iterative_operations.hpp:554</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a3b065fddd315cb32350283afd116cf5b"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a3b065fddd315cb32350283afd116cf5b">viennacl::linalg::cuda::pipelined_gmres_update_result</a></div><div class="ttdeci">void pipelined_gmres_update_result(vector_base< T > &result, vector_base< T > const &residual, vector_base< T > const &krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vector_base< T > const &coefficients, vcl_size_t param_k)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l01882">iterative_operations.hpp:1882</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a793be26a151c2fa6c7478143cdc75bfe"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a793be26a151c2fa6c7478143cdc75bfe">viennacl::linalg::pipelined_bicgstab_vector_update</a></div><div class="ttdeci">void pipelined_bicgstab_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, NumericT omega, vector_base< NumericT > const &s, vector_base< NumericT > &residual, vector_base< NumericT > const &As, NumericT beta, vector_base< NumericT > const &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined BiCGStab algorithm...</div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00171">iterative_operations.hpp:171</a></div></div>
<div class="ttc" id="cuda_2iterative__operations_8hpp_html"><div class="ttname"><a href="cuda_2iterative__operations_8hpp.html">iterative_operations.hpp</a></div><div class="ttdoc">Implementations of operations using sparse matrices using CUDA. </div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a020ede27e1975479bce748e0e4ea3c7f">viennacl::MEMORY_NOT_INITIALIZED</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00347">forwards.h:347</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00350">forwards.h:350</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a6faa475e03dfe776021e91f5a66f9319"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a6faa475e03dfe776021e91f5a66f9319">viennacl::linalg::pipelined_gmres_prod</a></div><div class="ttdeci">void pipelined_gmres_prod(MatrixType const &A, vector_base< T > const &p, vector_base< T > &Ap, vector_base< T > &inner_prod_buffer)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined GMRES algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00393">iterative_operations.hpp:393</a></div></div>
<div class="ttc" id="opencl_2iterative__operations_8hpp_html"><div class="ttname"><a href="opencl_2iterative__operations_8hpp.html">iterative_operations.hpp</a></div><div class="ttdoc">Implementations of specialized kernels for fast iterative solvers using OpenCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a0e7a262c0237222d9f9dc38b66a2a241"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a0e7a262c0237222d9f9dc38b66a2a241">viennacl::linalg::opencl::pipelined_cg_vector_update</a></div><div class="ttdeci">void pipelined_cg_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, NumericT beta, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00051">iterative_operations.hpp:51</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a39cd29b90bcdc32c34a53887787b0108"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a39cd29b90bcdc32c34a53887787b0108">viennacl::linalg::opencl::pipelined_bicgstab_vector_update</a></div><div class="ttdeci">void pipelined_bicgstab_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, NumericT omega, vector_base< NumericT > const &s, vector_base< NumericT > &residual, vector_base< NumericT > const &As, NumericT beta, vector_base< NumericT > const &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00326">iterative_operations.hpp:326</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_aaca868298580acb7df97aff002bf6867"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#aaca868298580acb7df97aff002bf6867">viennacl::linalg::pipelined_gmres_normalize_vk</a></div><div class="ttdeci">void pipelined_gmres_normalize_vk(vector_base< T > &v_k, vector_base< T > const &residual, vector_base< T > &R_buffer, vcl_size_t offset_in_R, vector_base< T > const &inner_prod_buffer, vector_base< T > &r_dot_vk_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a vector normalization needed for an efficient pipelined GMRES algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00248">iterative_operations.hpp:248</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html"><div class="ttname"><a href="classviennacl_1_1vector__base.html">viennacl::vector_base< NumericT ></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="namespaceviennacl_1_1linalg_1_1cuda_html_aedeca519719a2fcd21198220cb2f05f2"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#aedeca519719a2fcd21198220cb2f05f2">viennacl::linalg::cuda::pipelined_cg_vector_update</a></div><div class="ttdeci">void pipelined_cg_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, NumericT beta, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l00085">iterative_operations.hpp:85</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ab06346505de4a3b8bf2a1ff523622903"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ab06346505de4a3b8bf2a1ff523622903">viennacl::linalg::cuda::pipelined_bicgstab_vector_update</a></div><div class="ttdeci">void pipelined_bicgstab_vector_update(vector_base< NumericT > &result, NumericT alpha, vector_base< NumericT > &p, NumericT omega, vector_base< NumericT > const &s, vector_base< NumericT > &residual, vector_base< NumericT > const &As, NumericT beta, vector_base< NumericT > const &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l00864">iterative_operations.hpp:864</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a99d7431780543d40b2fc7a260f6a1d31"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a99d7431780543d40b2fc7a260f6a1d31">viennacl::linalg::opencl::pipelined_gmres_gram_schmidt_stage1</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage1(vector_base< T > const &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t param_k, vector_base< T > &vi_in_vk_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00642">iterative_operations.hpp:642</a></div></div>
<div class="ttc" id="predicate_8hpp_html"><div class="ttname"><a href="predicate_8hpp.html">predicate.hpp</a></div><div class="ttdoc">All the predicates used within ViennaCL. Checks for expressions to be vectors, etc. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_af5b89eb71abc46bd4b311824510b0c0e"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#af5b89eb71abc46bd4b311824510b0c0e">viennacl::linalg::opencl::pipelined_bicgstab_update_s</a></div><div class="ttdeci">void pipelined_bicgstab_update_s(vector_base< NumericT > &s, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00295">iterative_operations.hpp:295</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00348">forwards.h:348</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_ab66c2c1f1a8eb05b116d9b1274243b38"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#ab66c2c1f1a8eb05b116d9b1274243b38">viennacl::linalg::pipelined_bicgstab_prod</a></div><div class="ttdeci">void pipelined_bicgstab_prod(MatrixT const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > const &r0star, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined CG algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00208">iterative_operations.hpp:208</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_a9cca5888f4345b3b4f3339c74dbf9042"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#a9cca5888f4345b3b4f3339c74dbf9042">viennacl::linalg::host_based::pipelined_cg_prod</a></div><div class="ttdeci">void pipelined_cg_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdoc">Performs a fused matrix-vector product with a compressed_matrix for an efficient pipelined CG algorit...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00413">iterative_operations.hpp:413</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_ad40f19322bc978ffba33972c6f63ff48"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#ad40f19322bc978ffba33972c6f63ff48">viennacl::linalg::cuda::pipelined_gmres_gram_schmidt_stage2</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage2(vector_base< T > &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t param_k, vector_base< T > const &vi_in_vk_buffer, vector_base< T > &R_buffer, vcl_size_t krylov_dim, vector_base< T > &inner_prod_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l01830">iterative_operations.hpp:1830</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_ac1b61075d4b2a3d605fb08dc0dca95ea"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#ac1b61075d4b2a3d605fb08dc0dca95ea">viennacl::linalg::host_based::pipelined_bicgstab_update_s</a></div><div class="ttdeci">void pipelined_bicgstab_update_s(vector_base< NumericT > &s, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined BiCGStab algorithm...</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00504">iterative_operations.hpp:504</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a494ed2f09e16bd3c526e11614760ad1d"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a494ed2f09e16bd3c526e11614760ad1d">viennacl::linalg::cuda::pipelined_bicgstab_update_s</a></div><div class="ttdeci">void pipelined_bicgstab_update_s(vector_base< NumericT > &s, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l00791">iterative_operations.hpp:791</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_af497e625d846f3e219b9467b82cda386"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#af497e625d846f3e219b9467b82cda386">viennacl::linalg::host_based::pipelined_gmres_update_result</a></div><div class="ttdeci">void pipelined_gmres_update_result(vector_base< T > &result, vector_base< T > const &residual, vector_base< T > const &krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vector_base< T > const &coefficients, vcl_size_t k)</div><div class="ttdoc">Computes x += eta_0 r + sum_{i=1}^{k-1} eta_i v_{i-1}. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00836">iterative_operations.hpp:836</a></div></div>
<div class="ttc" id="range_8hpp_html"><div class="ttname"><a href="range_8hpp.html">range.hpp</a></div><div class="ttdoc">Implementation of a range object for use with proxy objects. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a042962f819feb720caace79aa6dc204c"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a042962f819feb720caace79aa6dc204c">viennacl::linalg::opencl::pipelined_cg_prod</a></div><div class="ttdeci">void pipelined_cg_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00078">iterative_operations.hpp:78</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a53f4ef640389f9a074761824cb29ac43"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a53f4ef640389f9a074761824cb29ac43">viennacl::linalg::pipelined_bicgstab_update_s</a></div><div class="ttdeci">void pipelined_bicgstab_update_s(vector_base< NumericT > &s, vector_base< NumericT > &r, vector_base< NumericT > const &Ap, vector_base< NumericT > &inner_prod_buffer, vcl_size_t buffer_chunk_size, vcl_size_t buffer_chunk_offset)</div><div class="ttdoc">Performs a joint vector update operation needed for an efficient pipelined CG algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="iterative__operations_8hpp_source.html#l00134">iterative_operations.hpp:134</a></div></div>
<div class="ttc" id="traits_2handle_8hpp_html"><div class="ttname"><a href="traits_2handle_8hpp.html">handle.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL handle from a vector, a matrix, an expression etc. ...</div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ae39853b7f291a697e119a139439178fb"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ae39853b7f291a697e119a139439178fb">viennacl::traits::handle</a></div><div class="ttdeci">viennacl::backend::mem_handle & handle(T &obj)</div><div class="ttdoc">Returns the generic memory handle of an object. Non-const version. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2handle_8hpp_source.html#l00041">handle.hpp:41</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ae6c44ba1bb74bdab61b795245b494729"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ae6c44ba1bb74bdab61b795245b494729">viennacl::linalg::opencl::pipelined_gmres_update_result</a></div><div class="ttdeci">void pipelined_gmres_update_result(vector_base< T > &result, vector_base< T > const &residual, vector_base< T > const &krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vector_base< T > const &coefficients, vcl_size_t param_k)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00699">iterative_operations.hpp:699</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_aa17b7680809f798794a5c2dc863931a6"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#aa17b7680809f798794a5c2dc863931a6">viennacl::linalg::host_based::pipelined_gmres_gram_schmidt_stage1</a></div><div class="ttdeci">void pipelined_gmres_gram_schmidt_stage1(vector_base< T > const &device_krylov_basis, vcl_size_t v_k_size, vcl_size_t v_k_internal_size, vcl_size_t k, vector_base< T > &vi_in_vk_buffer, vcl_size_t buffer_chunk_size)</div><div class="ttdoc">Computes first reduction stage for multiple inner products <v_i, v_k>, i=0..k-1. </div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00760">iterative_operations.hpp:760</a></div></div>
<div class="ttc" id="scalar_8hpp_html"><div class="ttname"><a href="scalar_8hpp.html">scalar.hpp</a></div><div class="ttdoc">Implementation of the ViennaCL scalar class. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a9415aa45a78c82eae3927ac06d88128a"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a9415aa45a78c82eae3927ac06d88128a">viennacl::linalg::opencl::pipelined_gmres_prod</a></div><div class="ttdeci">void pipelined_gmres_prod(compressed_matrix< T > const &A, vector_base< T > const &p, vector_base< T > &Ap, vector_base< T > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2iterative__operations_8hpp_source.html#l00727">iterative_operations.hpp:727</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1cuda_html_a9ab90f6c8f9931ad766cc757e3d52f6b"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1cuda.html#a9ab90f6c8f9931ad766cc757e3d52f6b">viennacl::linalg::cuda::pipelined_gmres_prod</a></div><div class="ttdeci">void pipelined_gmres_prod(compressed_matrix< NumericT > const &A, vector_base< NumericT > const &p, vector_base< NumericT > &Ap, vector_base< NumericT > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="cuda_2iterative__operations_8hpp_source.html#l01907">iterative_operations.hpp:1907</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_html_aeb57ebff0a27bc75b9340df9a99bf155"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based.html#aeb57ebff0a27bc75b9340df9a99bf155">viennacl::linalg::host_based::pipelined_gmres_prod</a></div><div class="ttdeci">void pipelined_gmres_prod(MatrixType const &A, vector_base< T > const &p, vector_base< T > &Ap, vector_base< T > &inner_prod_buffer)</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2iterative__operations_8hpp_source.html#l00866">iterative_operations.hpp:866</a></div></div>
<div class="ttc" id="enable__if_8hpp_html"><div class="ttname"><a href="enable__if_8hpp.html">enable_if.hpp</a></div><div class="ttdoc">Simple enable-if variant that uses the SFINAE pattern. </div></div>
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