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- The Boost Compute library consists of several different components. The core
- layer provides a "thin" C++ wrapper over the OpenCL API. This includes
- classes to manage OpenCL objects such as <code class="computeroutput">device</code>'s,
- <code class="computeroutput">kernel</code>'s and <code class="computeroutput">command_queue</code>'s.
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- On top of the core layer is a partial implementation of the C++ standard
- library providing common containers (e.g. <code class="computeroutput"><a class="link" href="../boost/compute/vector.html" title="Class template vector">vector<T></a></code>,
- <code class="computeroutput"><a class="link" href="../boost/compute/array.html" title="Class template array">array<T, N></a></code>) along
- with common algorithms (e.g. <code class="computeroutput"><a class="link" href="../boost/compute/transform.html" title="Function transform">transform()</a></code>
- and <code class="computeroutput"><a class="link" href="../boost/compute/sort.html" title="Function sort">sort()</a></code>).
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- The library also provides a number of "fancy" iterators (e.g.
- <code class="computeroutput"><a class="link" href="../boost/compute/transform_iterator.html" title="Class template transform_iterator">transform_iterator</a></code>
- and <code class="computeroutput"><a class="link" href="../boost/compute/permutation_iterator.html" title="Class template permutation_iterator">permutation_iterator</a></code>)
- which enhance the functionality of the standard algorithms.
- </p>
- <p>
- Boost.Compute also supplies a number of facilities for interoperation with
- other C and C++ libraries. See the section on <a class="link" href="interop.html" title="Interoperability">interoperability</a>
- for more information.
- </p>
- <p>
- See the <a class="link" href="reference.html#boost_compute.reference.api_overview" title="API Overview">API Overview</a>
- section for a full list of functions, classes, and macros provided by Boost.Compute.
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- <a name="boost_compute.design.why_opencl"></a><a class="link" href="design.html#boost_compute.design.why_opencl" title="Why OpenCL">Why OpenCL</a>
- </h3></div></div></div>
- <p>
- Boost.Compute uses <a href="http://en.wikipedia.org/wiki/OpenCL" target="_top">OpenCL</a>
- as its interface for executing code on parallel devices such as GPUs and
- multi-core CPUs.
- </p>
- <p>
- OpenCL was chosen for a number of reasons:
- </p>
- <div class="itemizedlist"><ul class="itemizedlist" style="list-style-type: disc; ">
- <li class="listitem">
- Vendor-neutral, standard C/C++, and doesn't require a special compiler,
- non-standard pragmas, or compiler extensions.
- </li>
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- It is not just another parallel-library abstraction layer, it provides
- direct access to the underlying hardware.
- </li>
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- Its runtime compilation model allows for kernels to be optimized and
- tuned dynamically for the device present when the application is run
- rather that the device that was present when the code was compiled (which
- is often a separate machine).
- </li>
- <li class="listitem">
- Using OpenCL allows Boost.Compute to directly interoperate with other
- OpenCL libraries (such as VexCL and OpenCV), as well as existing code
- written with OpenCL.
- </li>
- <li class="listitem">
- The "thin" C++ wrapper provided by Boost.Compute allows the
- user to break-out and write their own custom kernels when the provided
- APIs are not suitable.
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- </ul></div>
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- <td align="right"><div class="copyright-footer">Copyright © 2013, 2014 Kyle Lutz<p>
- Distributed under the Boost Software License, Version 1.0. (See accompanying
- file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">http://www.boost.org/LICENSE_1_0.txt</a>)
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