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<div class="title">compressed_compressed_matrix.hpp File Reference</div> </div>
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<p>Implementation of the compressed_compressed_matrix class (CSR format with a relatively small number of nonzero rows)
<a href="#details">More...</a></p>
<div class="textblock"><code>#include <vector></code><br/>
<code>#include <list></code><br/>
<code>#include <map></code><br/>
<code>#include "<a class="el" href="forwards_8h_source.html">viennacl/forwards.h</a>"</code><br/>
<code>#include "<a class="el" href="vector_8hpp_source.html">viennacl/vector.hpp</a>"</code><br/>
<code>#include "<a class="el" href="sparse__matrix__operations_8hpp_source.html">viennacl/linalg/sparse_matrix_operations.hpp</a>"</code><br/>
<code>#include "<a class="el" href="tools_8hpp_source.html">viennacl/tools/tools.hpp</a>"</code><br/>
<code>#include "<a class="el" href="entry__proxy_8hpp_source.html">viennacl/tools/entry_proxy.hpp</a>"</code><br/>
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<p><a href="compressed__compressed__matrix_8hpp_source.html">Go to the source code of this file.</a></p>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classviennacl_1_1compressed__compressed__matrix.html">viennacl::compressed_compressed_matrix< NumericT ></a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">A sparse square matrix in compressed sparse rows format optimized for the case that only a few rows carry nonzero entries. <a href="classviennacl_1_1compressed__compressed__matrix.html#details">More...</a><br/></td></tr>
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<tr class="memdesc:namespaceviennacl_1_1detail"><td class="mdescLeft"> </td><td class="mdescRight">Holds implementation details for functionality in the main viennacl-namespace. Not intended for direct use by library users. <br/></td></tr>
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Functions</h2></td></tr>
<tr class="memitem:a4b65590ba7d3edb355ff50e46ea26195"><td class="memTemplParams" colspan="2">template<typename CPUMatrixT , typename NumericT > </td></tr>
<tr class="memitem:a4b65590ba7d3edb355ff50e46ea26195"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1detail.html#a4b65590ba7d3edb355ff50e46ea26195">viennacl::detail::copy_impl</a> (const CPUMatrixT &cpu_matrix, compressed_compressed_matrix< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_matrix, vcl_size_t nonzero_rows, vcl_size_t nonzeros)</td></tr>
<tr class="separator:a4b65590ba7d3edb355ff50e46ea26195"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a99c761df7c27ca099b03b46931911648"><td class="memTemplParams" colspan="2">template<typename CPUMatrixT , typename NumericT > </td></tr>
<tr class="memitem:a99c761df7c27ca099b03b46931911648"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a99c761df7c27ca099b03b46931911648">viennacl::copy</a> (const CPUMatrixT &cpu_matrix, compressed_compressed_matrix< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_matrix)</td></tr>
<tr class="memdesc:a99c761df7c27ca099b03b46931911648"><td class="mdescLeft"> </td><td class="mdescRight">Copies a sparse matrix from the host to the OpenCL device (either GPU or multi-core CPU) <a href="#a99c761df7c27ca099b03b46931911648">More...</a><br/></td></tr>
<tr class="separator:a99c761df7c27ca099b03b46931911648"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab83a1719b10d1145a9d7035487c8f2ce"><td class="memTemplParams" colspan="2">template<typename SizeT , typename NumericT > </td></tr>
<tr class="memitem:ab83a1719b10d1145a9d7035487c8f2ce"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#ab83a1719b10d1145a9d7035487c8f2ce">viennacl::copy</a> (const std::vector< std::map< SizeT, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > > &cpu_matrix, compressed_compressed_matrix< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_matrix)</td></tr>
<tr class="memdesc:ab83a1719b10d1145a9d7035487c8f2ce"><td class="mdescLeft"> </td><td class="mdescRight">Copies a sparse square matrix in the std::vector< std::map < > > format to an OpenCL device. Use <a class="el" href="classviennacl_1_1tools_1_1sparse__matrix__adapter.html" title="Adapts a non-const sparse matrix type made up from std::vector<std::map<SizeT, NumericT> > to basic u...">viennacl::tools::sparse_matrix_adapter</a> for non-square matrices. <a href="#ab83a1719b10d1145a9d7035487c8f2ce">More...</a><br/></td></tr>
<tr class="separator:ab83a1719b10d1145a9d7035487c8f2ce"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a4513747040c2f4c7951d3e866fbb7fb4"><td class="memTemplParams" colspan="2">template<typename CPUMatrixT , typename NumericT > </td></tr>
<tr class="memitem:a4513747040c2f4c7951d3e866fbb7fb4"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a4513747040c2f4c7951d3e866fbb7fb4">viennacl::copy</a> (const compressed_compressed_matrix< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_matrix, CPUMatrixT &cpu_matrix)</td></tr>
<tr class="memdesc:a4513747040c2f4c7951d3e866fbb7fb4"><td class="mdescLeft"> </td><td class="mdescRight">Copies a sparse matrix from the OpenCL device (either GPU or multi-core CPU) to the host. <a href="#a4513747040c2f4c7951d3e866fbb7fb4">More...</a><br/></td></tr>
<tr class="separator:a4513747040c2f4c7951d3e866fbb7fb4"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a33af429555220f128281e71d75932ea3"><td class="memTemplParams" colspan="2">template<typename NumericT > </td></tr>
<tr class="memitem:a33af429555220f128281e71d75932ea3"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl.html#a33af429555220f128281e71d75932ea3">viennacl::copy</a> (const compressed_compressed_matrix< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > &gpu_matrix, std::vector< std::map< unsigned int, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> > > &cpu_matrix)</td></tr>
<tr class="memdesc:a33af429555220f128281e71d75932ea3"><td class="mdescLeft"> </td><td class="mdescRight">Copies a sparse matrix from an OpenCL device to the host. The host type is the std::vector< std::map < > > format . <a href="#a33af429555220f128281e71d75932ea3">More...</a><br/></td></tr>
<tr class="separator:a33af429555220f128281e71d75932ea3"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Implementation of the compressed_compressed_matrix class (CSR format with a relatively small number of nonzero rows) </p>
<p>Definition in file <a class="el" href="compressed__compressed__matrix_8hpp_source.html">compressed_compressed_matrix.hpp</a>.</p>
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