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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">examples/tutorial/libviennacl.cpp</div> </div>
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<div class="contents">
<p>In this example we show how one can directly interface the ViennaCL BLAS-like shared library. For simplicity, C++ is used as a host language, but one may also use C or any other language which is able to call C functions.</p>
<p>The first step is to include the necessary headers: </p>
<div class="fragment"><div class="line"><span class="comment">// include necessary system headers</span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"><span class="preprocessor">#include <vector></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Some helper functions for this tutorial:</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="viennacl_8hpp.html">viennacl.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
</div><!-- fragment --><p> In this example we only create two vectors and swap values between them. </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"> std::size_t <a name="a1"></a><a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a> = 10;</div>
<div class="line"></div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#a4a7e3daeca6c290c0d1bd0d9d0034e29">ViennaCLInt</a> half_size = <span class="keyword">static_cast<</span><a class="code" href="viennacl_8hpp.html#a4a7e3daeca6c290c0d1bd0d9d0034e29">ViennaCLInt</a><span class="keyword">></span>(size / 2);</div>
</div><!-- fragment --><p> Before we start we need to create a backend. This allows one later to specify OpenCL command queues, CPU threads, or CUDA streams while preserving common interfaces. </p>
<div class="fragment"><div class="line"><a name="_a2"></a><a class="code" href="struct_vienna_c_l_backend__impl.html">ViennaCLBackend</a> my_backend;</div>
<div class="line"><a name="a3"></a><a class="code" href="viennacl_8hpp.html#add3f2aedfb24eb9fe71329b948b99288">ViennaCLBackendCreate</a>(&my_backend);</div>
</div><!-- fragment --> <h2>Host-based Execution</h2>
<p>We use the host to swap all odd entries of x (all ones) with all even entries in y (all twos): </p>
<div class="fragment"><div class="line"><a name="_a4"></a><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> host_x = <a name="_a5"></a><a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 1.0, <a name="a6"></a><a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a name="a7"></a><a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>));</div>
<div class="line"><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> host_y = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 2.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>));</div>
<div class="line"></div>
<div class="line"><a name="a8"></a><a class="code" href="viennacl_8hpp.html#a78731fc8d22ffd2085995f75769e4d66">ViennaCLHostSswap</a>(my_backend, half_size,</div>
<div class="line"> viennacl::linalg::host_based::detail::extract_raw_pointer<float>(host_x), 1, 2,</div>
<div class="line"> viennacl::linalg::host_based::detail::extract_raw_pointer<float>(host_y), 0, 2);</div>
<div class="line"></div>
<div class="line">std::cout << <span class="stringliteral">" --- Host ---"</span> << std::endl;</div>
<div class="line">std::cout << <span class="stringliteral">"host_x: "</span> << host_x << std::endl;</div>
<div class="line">std::cout << <span class="stringliteral">"host_y: "</span> << host_y << std::endl;</div>
</div><!-- fragment --> <h2>CUDA-based Execution</h2>
<p>We use CUDA to swap all even entries in x (all ones) with all odd entries in y (all twos) </p>
<div class="fragment"><div class="line"><span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> cuda_x = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 1.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a name="a9"></a><a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>));</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> cuda_y = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 2.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>));</div>
<div class="line"></div>
<div class="line"> <a name="a10"></a><a class="code" href="viennacl_8hpp.html#a7a81cbc46f56f391a9a9fef43e0f3419">ViennaCLCUDASswap</a>(my_backend, half_size,</div>
<div class="line"> <a name="a11"></a><a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(cuda_x), 0, 2,</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(cuda_y), 1, 2);</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">" --- CUDA ---"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"cuda_x: "</span> << cuda_x << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"cuda_y: "</span> << cuda_y << std::endl;</div>
<div class="line"><span class="preprocessor">#endif</span></div>
</div><!-- fragment --> <h2>OpenCL-based Execution</h2>
<p>Use OpenCL to swap all odd entries in x (all ones) with all odd entries in y (all twos) </p>
<div class="fragment"><div class="line"><span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"> <span class="keywordtype">long</span> context_id = 0;</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> opencl_x = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 1.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a name="a12"></a><a class="code" href="namespaceviennacl_1_1ocl.html#a82c1aba632a7ee0991eee480d5340966">viennacl::ocl::get_context</a>(context_id)));</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> opencl_y = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 2.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl_1_1ocl.html#a82c1aba632a7ee0991eee480d5340966">viennacl::ocl::get_context</a>(context_id)));</div>
<div class="line"></div>
<div class="line"> <a name="a13"></a><a class="code" href="viennacl_8hpp.html#a539be94a48c41ba264e87c034ca16a64">ViennaCLBackendSetOpenCLContextID</a>(my_backend, static_cast<ViennaCLInt>(context_id));</div>
<div class="line"></div>
<div class="line"> ViennaCLOpenCLSswap(my_backend, half_size,</div>
<div class="line"> viennacl::traits::opencl_handle(opencl_x).<span class="keyword">get</span>(), 1, 2,</div>
<div class="line"> viennacl::traits::opencl_handle(opencl_y).<span class="keyword">get</span>(), 1, 2);</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">" --- OpenCL ---"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"opencl_x: "</span> << opencl_x << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"opencl_y: "</span> << opencl_y << std::endl;</div>
<div class="line"><span class="preprocessor">#endif</span></div>
</div><!-- fragment --><p> The last step is to clean up by destroying the backend: </p>
<div class="fragment"><div class="line"> <a name="a14"></a><a class="code" href="viennacl_8hpp.html#a5a310ef519e9c4928eab12ea87009d23">ViennaCLBackendDestroy</a>(&my_backend);</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><!-- 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">// include necessary system headers</span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"><span class="preprocessor">#include <vector></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Some helper functions for this tutorial:</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="viennacl_8hpp.html">viennacl.hpp</a>"</span></div>
<div class="line"></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"></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"> std::size_t size = 10;</div>
<div class="line"></div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#a4a7e3daeca6c290c0d1bd0d9d0034e29">ViennaCLInt</a> half_size = <span class="keyword">static_cast<</span><a class="code" href="viennacl_8hpp.html#a4a7e3daeca6c290c0d1bd0d9d0034e29">ViennaCLInt</a><span class="keyword">></span>(size / 2);</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"> <a class="code" href="struct_vienna_c_l_backend__impl.html">ViennaCLBackend</a> my_backend;</div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#add3f2aedfb24eb9fe71329b948b99288">ViennaCLBackendCreate</a>(&my_backend);</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> host_x = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 1.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>));</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> host_y = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 2.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>));</div>
<div class="line"></div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#a78731fc8d22ffd2085995f75769e4d66">ViennaCLHostSswap</a>(my_backend, half_size,</div>
<div class="line"> viennacl::linalg::host_based::detail::extract_raw_pointer<float>(host_x), 1, 2,</div>
<div class="line"> viennacl::linalg::host_based::detail::extract_raw_pointer<float>(host_y), 0, 2);</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">" --- Host ---"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"host_x: "</span> << host_x << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"host_y: "</span> << host_y << std::endl;</div>
<div class="line"></div>
<div class="line"><span class="preprocessor">#ifdef VIENNACL_WITH_CUDA</span></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> cuda_x = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 1.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>));</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> cuda_y = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 2.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8ab58facda25e2c7e20d9fe1b5e62f46d2">viennacl::CUDA_MEMORY</a>));</div>
<div class="line"></div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#a7a81cbc46f56f391a9a9fef43e0f3419">ViennaCLCUDASswap</a>(my_backend, half_size,</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(cuda_x), 0, 2,</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#ae7d5db0c2c91be75218db5b52c4d13da">viennacl::cuda_arg</a>(cuda_y), 1, 2);</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">" --- CUDA ---"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"cuda_x: "</span> << cuda_x << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"cuda_y: "</span> << cuda_y << std::endl;</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"></div>
<div class="line"><span class="preprocessor">#ifdef VIENNACL_WITH_OPENCL</span></div>
<div class="line"> <span class="keywordtype">long</span> context_id = 0;</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> opencl_x = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 1.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl_1_1ocl.html#a82c1aba632a7ee0991eee480d5340966">viennacl::ocl::get_context</a>(context_id)));</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<float></a> opencl_y = <a class="code" href="structviennacl_1_1scalar__vector.html">viennacl::scalar_vector<float></a>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, 2.0, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::context</a>(<a class="code" href="namespaceviennacl_1_1ocl.html#a82c1aba632a7ee0991eee480d5340966">viennacl::ocl::get_context</a>(context_id)));</div>
<div class="line"></div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#a539be94a48c41ba264e87c034ca16a64">ViennaCLBackendSetOpenCLContextID</a>(my_backend, static_cast<ViennaCLInt>(context_id));</div>
<div class="line"></div>
<div class="line"> ViennaCLOpenCLSswap(my_backend, half_size,</div>
<div class="line"> viennacl::traits::opencl_handle(opencl_x).<span class="keyword">get</span>(), 1, 2,</div>
<div class="line"> viennacl::traits::opencl_handle(opencl_y).<span class="keyword">get</span>(), 1, 2);</div>
<div class="line"></div>
<div class="line"> std::cout << <span class="stringliteral">" --- OpenCL ---"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"opencl_x: "</span> << opencl_x << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"opencl_y: "</span> << opencl_y << std::endl;</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"></div>
<div class="line"> <a class="code" href="viennacl_8hpp.html#a5a310ef519e9c4928eab12ea87009d23">ViennaCLBackendDestroy</a>(&my_backend);</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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