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<div class="title">tred2.hpp</div> </div>
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<a href="tred2_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_TRED2_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_TRED2_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) 2010-2014, 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 PDF 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="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="sse__kernels_8hpp.html">viennacl/linalg/host_based/sse_kernels.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <boost/numeric/ublas/matrix.hpp></span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">template</span><<span class="keyword">typename</span> ScalarType></div>
<div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg.html#a1234a4cd5a6a2cebc6c106a69c139e4e"> 40</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg.html#a1234a4cd5a6a2cebc6c106a69c139e4e">inplace_tred2</a>(boost::numeric::ublas::matrix<ScalarType> <span class="keyword">const</span> & A, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_size = 1)</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_threads=(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>)omp_get_max_threads();</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  omp_set_num_threads(omp_get_max_threads());</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#else</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_threads=1;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> n=A.size1();</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">if</span> (n!=A.size2())</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::cerr << <span class="stringliteral">"ViennaCL: Warning in inplace_tred2(): Matrix is not hermitian (or real symmetric)"</span> << std::endl;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  block_size=<a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">std::min</a>(n,block_size);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">//get pointers to the value arrays</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>** rows=<span class="keyword">new</span> <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>*[n];</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0;i<n;i++)</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  rows[i]=(<a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>*)&A(i,0);</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">//call the optimized CPU code</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a1234a4cd5a6a2cebc6c106a69c139e4e">inplace_tred2</a>(rows,A.size1(),block_size,num_threads);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">delete</span> [] rows;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="sse__kernels_8hpp_html"><div class="ttname"><a href="sse__kernels_8hpp.html">sse_kernels.hpp</a></div><div class="ttdoc">optimized linear algebra operations for the CPU </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#l00074">forwards.h:74</a></div></div>
<div class="ttc" id="fft__1d_8cpp_html_ad5c19ca4f47d3f8ec21232a5af2624e5"><div class="ttname"><a href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a></div><div class="ttdeci">float ScalarType</div><div class="ttdef"><b>Definition:</b> <a href="fft__1d_8cpp_source.html#l00042">fft_1d.cpp:42</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_aef015779a92be597e546c3491cebf6c1"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#aef015779a92be597e546c3491cebf6c1">viennacl::linalg::detail::min</a></div><div class="ttdeci">T min(const T &lhs, const T &rhs)</div><div class="ttdoc">Minimum. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2detail_2bisect_2util_8hpp_source.html#l00045">util.hpp:45</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a1234a4cd5a6a2cebc6c106a69c139e4e"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a1234a4cd5a6a2cebc6c106a69c139e4e">viennacl::linalg::inplace_tred2</a></div><div class="ttdeci">void inplace_tred2(boost::numeric::ublas::matrix< ScalarType > const &A, vcl_size_t block_size=1)</div><div class="ttdoc">Inplace reduction of a hermitian (or real symmetric) to tridiagonal form using householder similarity...</div><div class="ttdef"><b>Definition:</b> <a href="tred2_8hpp_source.html#l00040">tred2.hpp:40</a></div></div>
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