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<div class="title">sparse.cpp</div> </div>
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<p>This tutorial demonstrates the use of sparse matrices. The primary operation for sparse matrices in ViennaCL is the sparse matrix-vector product.</p>
<p>We start with including the respective headers: </p>
<div class="fragment"><div class="line"><span class="comment">// system headers</span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// ublas headers</span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/matrix_sparse.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/matrix.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/operation.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/operation_sparse.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/io.hpp></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Must be set if you want to use ViennaCL algorithms on ublas objects</span></div>
<div class="line"><span class="preprocessor">#define VIENNACL_WITH_UBLAS 1</span></div>
<div class="line"></div>
<div class="line"><span class="comment">// ViennaCL includes</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="compressed__matrix_8hpp.html">viennacl/compressed_matrix.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// Additional helper functions for this tutorial:</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector-io_8hpp.html">vector-io.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Shortcut for writing 'ublas::' instead of 'boost::numeric::ublas::'</span></div>
<div class="line"><span class="keyword">using namespace </span>boost::numeric;</div>
</div><!-- fragment --><p> We setup a sparse matrix in uBLAS and populate it with values. Then, the respective ViennaCL sparse matrix is created and initialized with data from the uBLAS matrix. After a direct manipulation of the ViennaCL matrix, matrix-vector products are computed with both matrices. </p>
<div class="fragment"><div class="line"><span class="keywordtype">int</span> <a name="a0"></a><a class="code" href="tests_2src_2sparse_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>()</div>
<div class="line">{</div>
<div class="line"> <span class="keyword">typedef</span> <span class="keywordtype">float</span> <a name="a1"></a><a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>;</div>
<div class="line"></div>
<div class="line"> std::size_t <a name="a2"></a><a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a> = 5;</div>
</div><!-- fragment --><p> Set up some ublas objects </p>
<div class="fragment"><div class="line">ublas::vector<ScalarType> rhs = ublas::scalar_vector<ScalarType>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(size));</div>
<div class="line">ublas::compressed_matrix<ScalarType> ublas_matrix(size, size);</div>
<div class="line"></div>
<div class="line">ublas_matrix(0,0) = 2.0f; ublas_matrix(0,1) = -1.0f;</div>
<div class="line">ublas_matrix(1,0) = -1.0f; ublas_matrix(1,1) = 2.0f; ublas_matrix(1,2) = -1.0f;</div>
<div class="line">ublas_matrix(2,1) = -1.0f; ublas_matrix(2,2) = 2.0f; ublas_matrix(2,3) = -1.0f;</div>
<div class="line">ublas_matrix(3,2) = -1.0f; ublas_matrix(3,3) = 2.0f; ublas_matrix(3,4) = -1.0f;</div>
<div class="line">ublas_matrix(4,3) = -1.0f; ublas_matrix(4,4) = 2.0f;</div>
<div class="line"></div>
<div class="line">std::cout << <span class="stringliteral">"ublas matrix: "</span> << ublas_matrix << std::endl;</div>
</div><!-- fragment --><p> Set up some ViennaCL objects and initialize with data from uBLAS objects </p>
<div class="fragment"><div class="line"><a name="_a3"></a><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<ScalarType></a> vcl_rhs(size);</div>
<div class="line"><a name="_a4"></a><a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> vcl_compressed_matrix(size, size);</div>
<div class="line"></div>
<div class="line"><a name="a5"></a><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(rhs, vcl_rhs);</div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(ublas_matrix, vcl_compressed_matrix);</div>
<div class="line"></div>
<div class="line"><span class="comment">// just get the data directly from the GPU and print it:</span></div>
<div class="line">ublas::compressed_matrix<ScalarType> temp(size, size);</div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_compressed_matrix, temp);</div>
<div class="line">std::cout << <span class="stringliteral">"ViennaCL: "</span> << temp << std::endl;</div>
<div class="line"></div>
<div class="line"><span class="comment">// now modify GPU data directly:</span></div>
<div class="line">std::cout << <span class="stringliteral">"Modifying vcl_compressed_matrix a bit: "</span> << std::endl;</div>
<div class="line">vcl_compressed_matrix(0, 0) = 3.0f;</div>
<div class="line">vcl_compressed_matrix(2, 3) = -3.0f;</div>
<div class="line">vcl_compressed_matrix(4, 2) = -3.0f; <span class="comment">//this is a new nonzero entry</span></div>
<div class="line">vcl_compressed_matrix(4, 3) = -3.0f;</div>
<div class="line"></div>
<div class="line"><span class="comment">// and print it again:</span></div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_compressed_matrix, temp);</div>
<div class="line">std::cout << <span class="stringliteral">"ViennaCL matrix copied to uBLAS matrix: "</span> << temp << std::endl;</div>
</div><!-- fragment --><p> Compute matrix-vector products and output the results (should match): </p>
<div class="fragment"><div class="line">std::cout << <span class="stringliteral">"ublas: "</span> << <a name="a6"></a><a class="code" href="sparse__prod_8cpp.html#a2c8637b3d6a972d1d8fd85fb3089c6da">ublas::prod</a>(temp, rhs) << std::endl;</div>
<div class="line">std::cout << <span class="stringliteral">"ViennaCL: "</span> << <a name="a7"></a><a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_compressed_matrix, vcl_rhs) << std::endl;</div>
</div><!-- fragment --><p> That's it. Print a success message and exit. </p>
<div class="fragment"><div class="line"> std::cout << <span class="stringliteral">"!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!"</span> << std::endl;</div>
<div class="line"></div>
<div class="line"> <span class="keywordflow">return</span> EXIT_SUCCESS;</div>
<div class="line">}</div>
</div><!-- fragment --> <h2>Full Example Code</h2>
<div class="fragment"><div class="line"><span class="comment">/* =========================================================================</span></div>
<div class="line"><span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><span class="comment"> TU Wien.</span></div>
<div class="line"><span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment"> -----------------</span></div>
<div class="line"><span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><span class="comment"> -----------------</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment"> (A list of authors and contributors can be found in the PDF manual)</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><span class="comment">============================================================================= */</span></div>
<div class="line"></div>
<div class="line"><span class="comment">// system headers</span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// ublas headers</span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/matrix_sparse.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/matrix.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/operation.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/operation_sparse.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/numeric/ublas/io.hpp></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Must be set if you want to use ViennaCL algorithms on ublas objects</span></div>
<div class="line"><span class="preprocessor">#define VIENNACL_WITH_UBLAS 1</span></div>
<div class="line"></div>
<div class="line"><span class="comment">// ViennaCL includes</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="scalar_8hpp.html">viennacl/scalar.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="compressed__matrix_8hpp.html">viennacl/compressed_matrix.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// Additional helper functions for this tutorial:</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector-io_8hpp.html">vector-io.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Shortcut for writing 'ublas::' instead of 'boost::numeric::ublas::'</span></div>
<div class="line"><span class="keyword">using namespace </span>boost::numeric;</div>
<div class="line"></div>
<div class="line"><span class="keywordtype">int</span> <a class="code" href="tests_2src_2sparse_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>()</div>
<div class="line">{</div>
<div class="line"> <span class="keyword">typedef</span> <span class="keywordtype">float</span> <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>;</div>
<div class="line"></div>
<div class="line"> std::size_t <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a> = 5;</div>
<div class="line"></div>
<div class="line"> ublas::vector<ScalarType> rhs = ublas::scalar_vector<ScalarType>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(size));</div>
<div class="line"> ublas::compressed_matrix<ScalarType> ublas_matrix(size, size);</div>
<div class="line"></div>
<div class="line"> ublas_matrix(0,0) = 2.0f; ublas_matrix(0,1) = -1.0f;</div>
<div class="line"> ublas_matrix(1,0) = -1.0f; ublas_matrix(1,1) = 2.0f; ublas_matrix(1,2) = -1.0f;</div>
<div class="line"> ublas_matrix(2,1) = -1.0f; ublas_matrix(2,2) = 2.0f; ublas_matrix(2,3) = -1.0f;</div>
<div class="line"> ublas_matrix(3,2) = -1.0f; ublas_matrix(3,3) = 2.0f; ublas_matrix(3,4) = -1.0f;</div>
<div class="line"> ublas_matrix(4,3) = -1.0f; ublas_matrix(4,4) = 2.0f;</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">"ublas matrix: "</span> << ublas_matrix << std::endl;</div>
<div class="line"></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<ScalarType></a> vcl_rhs(size);</div>
<div class="line"> <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> vcl_compressed_matrix(size, size);</div>
<div class="line"></div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(rhs, vcl_rhs);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(ublas_matrix, vcl_compressed_matrix);</div>
<div class="line"></div>
<div class="line"> <span class="comment">// just get the data directly from the GPU and print it:</span></div>
<div class="line"> ublas::compressed_matrix<ScalarType> temp(size, size);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_compressed_matrix, temp);</div>
<div class="line"> std::cout << <span class="stringliteral">"ViennaCL: "</span> << temp << std::endl;</div>
<div class="line"></div>
<div class="line"> <span class="comment">// now modify GPU data directly:</span></div>
<div class="line"> std::cout << <span class="stringliteral">"Modifying vcl_compressed_matrix a bit: "</span> << std::endl;</div>
<div class="line"> vcl_compressed_matrix(0, 0) = 3.0f;</div>
<div class="line"> vcl_compressed_matrix(2, 3) = -3.0f;</div>
<div class="line"> vcl_compressed_matrix(4, 2) = -3.0f; <span class="comment">//this is a new nonzero entry</span></div>
<div class="line"> vcl_compressed_matrix(4, 3) = -3.0f;</div>
<div class="line"></div>
<div class="line"> <span class="comment">// and print it again:</span></div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_compressed_matrix, temp);</div>
<div class="line"> std::cout << <span class="stringliteral">"ViennaCL matrix copied to uBLAS matrix: "</span> << temp << std::endl;</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">"ublas: "</span> << <a class="code" href="sparse__prod_8cpp.html#a2c8637b3d6a972d1d8fd85fb3089c6da">ublas::prod</a>(temp, rhs) << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"ViennaCL: "</span> << <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_compressed_matrix, vcl_rhs) << std::endl;</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">"!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!"</span> << std::endl;</div>
<div class="line"></div>
<div class="line"> <span class="keywordflow">return</span> EXIT_SUCCESS;</div>
<div class="line">}</div>
<div class="line"></div>
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