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<div id="projectname">ViennaCL - The Vienna Computing Library
 <span id="projectnumber">1.7.1</span>
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<div id="projectbrief">Free open-source GPU-accelerated linear algebra and solver library.</div>
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<div class="title">wrap-host-buffer.cpp</div> </div>
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<p>This tutorial shows how ViennaCL can be used to wrap user-provided memory buffers allocated on the host. The benefit of such a wrapper is that the algorithms in ViennaCL can directly be run without pre- or postprocessing the data.</p>
<p>We start with including the required 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"><span class="preprocessor">#include <cstdlib></span></div>
<div class="line"><span class="preprocessor">#include <string></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// ViennaCL headers</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
</div><!-- fragment --><p> We setup two STL-vectors and add them up as a reference. Then the buffer get wrapped by ViennaCL and added up. </p>
<div class="fragment"><div class="line"><span class="keywordtype">int</span> <a name="a0"></a><a class="code" href="tests_2src_2bisect_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><!-- fragment --> <h2>Part 1: Allocate some buffers on the host</h2>
<div class="fragment"><div class="line">std::size_t <a name="a2"></a><a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a> = 10;</div>
<div class="line"></div>
<div class="line">std::vector<ScalarType> host_x(size, 1.0);</div>
<div class="line">std::vector<ScalarType> host_y(size, 2.0);</div>
<div class="line"></div>
<div class="line">std::cout << <span class="stringliteral">"Result on host: "</span>;</div>
<div class="line"><span class="keywordflow">for</span> (std::size_t i=0; i<<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>; ++i)</div>
<div class="line"> std::cout << host_x[i] + host_y[i] << <span class="stringliteral">" "</span>;</div>
<div class="line">std::cout << std::endl;</div>
</div><!-- fragment --> <h2>Part 2: Now do the same computations within ViennaCL</h2>
<div class="fragment"><div class="line"><span class="comment">// wrap host buffer within ViennaCL vectors:</span></div>
<div class="line"><a name="_a3"></a><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<ScalarType></a> vcl_vec1(&(host_x[0]), <a name="a4"></a><a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>, size); <span class="comment">// Second parameter specifies that this is host memory rather than CUDA memory</span></div>
<div class="line"><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<ScalarType></a> vcl_vec2(&(host_y[0]), <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>, size); <span class="comment">// Second parameter specifies that this is host memory rather than CUDA memory</span></div>
<div class="line"></div>
<div class="line">vcl_vec1 += vcl_vec2;</div>
<div class="line"></div>
<div class="line">std::cout << <span class="stringliteral">"Result with ViennaCL: "</span> << vcl_vec1 << std::endl;</div>
<div class="line"></div>
<div class="line">std::cout << <span class="stringliteral">"Data in STL-vector: "</span>;</div>
<div class="line"><span class="keywordflow">for</span> (std::size_t i=0; i<<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>; ++i)</div>
<div class="line"> std::cout << host_x[i] << <span class="stringliteral">" "</span>;</div>
<div class="line">std::cout << std::endl;</div>
</div><!-- fragment --><p> That's it. Print 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"><span class="preprocessor">#include <cstdlib></span></div>
<div class="line"><span class="preprocessor">#include <string></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// ViennaCL headers</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"></div>
<div class="line"><span class="keywordtype">int</span> <a class="code" href="tests_2src_2bisect_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 size = 10;</div>
<div class="line"></div>
<div class="line"> std::vector<ScalarType> host_x(size, 1.0);</div>
<div class="line"> std::vector<ScalarType> host_y(size, 2.0);</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">"Result on host: "</span>;</div>
<div class="line"> <span class="keywordflow">for</span> (std::size_t i=0; i<<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>; ++i)</div>
<div class="line"> std::cout << host_x[i] + host_y[i] << <span class="stringliteral">" "</span>;</div>
<div class="line"> std::cout << std::endl;</div>
<div class="line"></div>
<div class="line"> <span class="comment">// wrap host buffer within ViennaCL vectors:</span></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<ScalarType></a> vcl_vec1(&(host_x[0]), <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>, size); <span class="comment">// Second parameter specifies that this is host memory rather than CUDA memory</span></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<ScalarType></a> vcl_vec2(&(host_y[0]), <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>, size); <span class="comment">// Second parameter specifies that this is host memory rather than CUDA memory</span></div>
<div class="line"></div>
<div class="line"> vcl_vec1 += vcl_vec2;</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">"Result with ViennaCL: "</span> << vcl_vec1 << std::endl;</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">"Data in STL-vector: "</span>;</div>
<div class="line"> <span class="keywordflow">for</span> (std::size_t i=0; i<<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>; ++i)</div>
<div class="line"> std::cout << host_x[i] << <span class="stringliteral">" "</span>;</div>
<div class="line"> std::cout << 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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