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‎docs/Algorithms.html‎

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<title>Taskflow Algorithms | Taskflow QuickStart</title>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.14 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.20 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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‎docs/AsyncTasking.html‎

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<title>Cookbook &raquo; Asynchronous Tasking | Taskflow QuickStart</title>
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<span class="m-breadcrumb"><a href="Cookbook.html">Cookbook</a> &raquo;</span>
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<li><a href="#LaunchAsynchronousTasksFromAnExecutor">Launch Asynchronous Tasks from an Executor</a></li>
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<p>This chapters discusses how to launch tasks asynchronously so that you can incorporate independent, dynamic parallelism in your taskflows.</p><section id="LaunchAsynchronousTasksFromAnExecutor"><h2><a href="#LaunchAsynchronousTasksFromAnExecutor">Launch Asynchronous Tasks from an Executor</a></h2><p>Taskflow executor provides a STL-styled method, <a href="classtf_1_1Executor.html#a1e6866c8f1b6a2e932f06d0b4eb032c0" class="m-doc">tf::<wbr />Executor::<wbr />async</a>, for you to run a callable object asynchronously. The method returns a <a href="classtf_1_1Future.html" class="m-doc">tf::<wbr />Future</a> object derived from <a href="https://en.cppreference.com/w/cpp/thread/future">std::<wbr />future</a> that will eventually hold the result of that function call. The result may be optional due to <a href="classtf_1_1Future.html#a3bf5f104864ab2590b6409712d3a469b" class="m-doc">tf::<wbr />Future::<wbr />cancel</a> (see <a href="RequestCancellation.html" class="m-doc">Request Cancellation</a> for details).</p><pre class="m-code"><span class="n">tf</span><span class="o">::</span><span class="n">Future</span><span class="o">&lt;</span><span class="n">std</span><span class="o">::</span><span class="n">optional</span><span class="o">&lt;</span><span class="kt">int</span><span class="o">&gt;&gt;</span><span class="w"> </span><span class="n">future</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">executor</span><span class="p">.</span><span class="n">async</span><span class="p">([](){</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">1</span><span class="p">;</span><span class="w"> </span><span class="p">});</span><span class="w"></span>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.14 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.20 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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‎docs/BenchmarkTaskflow.html‎

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<title>Building and Installing &raquo; Benchmark Taskflow | Taskflow QuickStart</title>
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<section id="CompileAndRunBenchmarks"><h2><a href="#CompileAndRunBenchmarks">Compile and Run Benchmarks</a></h2><p>To build the benchmark code, enable the CMake option <code>TF_BUILD_BENCHMARKS</code> to <code>ON</code> as follows:</p><pre class="m-console"><span class="gp"># </span>under /taskflow/build
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.14 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.20 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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‎docs/CUDASTDExecutionPolicy.html‎

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<title>CUDA Standard Algorithms &raquo; Execution Policy | Taskflow QuickStart</title>
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<p>Taskflow provides standalone template methods for expressing common parallel algorithms on a GPU. Each of these methods is governed by an <em>execution policy object</em> to configure the kernel execution parameters.</p><section id="CUDASTDExecutionPolicyIncludeTheHeader"><h2><a href="#CUDASTDExecutionPolicyIncludeTheHeader">Include the Header</a></h2><p>You need to include the header file, <code>taskflow/cuda/cudaflow.hpp</code>, for creating a CUDA execution policy object.</p></section><section id="CUDASTDParameterizePerformance"><h2><a href="#CUDASTDParameterizePerformance">Parameterize Performance</a></h2><p>Taskflow parameterizes most CUDA algorithms in terms of <em>the number of threads per block</em> and <em>units of work per thread</em>, which can be specified in the execution policy template type, <a href="classtf_1_1cudaExecutionPolicy.html" class="m-doc">tf::<wbr />cudaExecutionPolicy</a>. The design is inspired by <a href="https://moderngpu.github.io/">Modern GPU Programming</a> authored by Sean Baxter to achieve high-performance GPU computing.</p></section><section id="CUDASTDDefineAnExecutionPolicy"><h2><a href="#CUDASTDDefineAnExecutionPolicy">Define an Execution Policy</a></h2><p>The following example defines an execution policy object, <code>policy</code>, which configures (1) each block to invoke 512 threads and (2) each of these <code>512</code> threads to perform <code>11</code> units of work. Block size must be a power of two. It is always a good idea to specify an odd number in the second parameter to avoid bank conflicts.</p><pre class="m-code"><span class="n">tf</span><span class="o">::</span><span class="n">cudaExecutionPolicy</span><span class="o">&lt;</span><span class="mi">512</span><span class="p">,</span><span class="w"> </span><span class="mi">11</span><span class="o">&gt;</span><span class="w"> </span><span class="n">policy</span><span class="p">;</span><span class="w"></span></pre><p>By default, the execution policy object is associated with the CUDA <em>default stream</em> (i.e., 0). Default stream can incur significant overhead due to the global synchronization. You can associate an execution policy with another stream as shown below:</p><pre class="m-code"><span class="n">cudaStream_t</span><span class="w"> </span><span class="n">my_stream</span><span class="p">;</span><span class="w"></span>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.14 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.20 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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‎docs/CUDASTDFind.html‎

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<title>CUDA Standard Algorithms &raquo; Parallel Find | Taskflow QuickStart</title>
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<p>Taskflow provides standalone template methods for finding elements in the given ranges using CUDA.</p><section id="CUDASTDFindIncludeTheHeader"><h2><a href="#CUDASTDFindIncludeTheHeader">Include the Header</a></h2><p>You need to include the header file, <code>taskflow/cuda/algorithm/find.hpp</code>, for using the parallel-find algorithm.</p></section><section id="CUDASTDFindItems"><h2><a href="#CUDASTDFindItems">Find an Element in a Range</a></h2><p><a href="namespacetf.html#a5f9dabd7c5d0fa5166cf76d9fa5a038e" class="m-doc">tf::<wbr />cuda_find_if</a> finds the index of the first element in the range <code>[first, last)</code> that satisfies the given criteria. This is equivalent to the parallel execution of the following loop:</p><pre class="m-code"><span class="kt">unsigned</span><span class="w"> </span><span class="n">idx</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"></span>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.14 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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<p>Taskflow handbook is part of the <a href="https://taskflow.github.io">Taskflow project</a>, copyright © <a href="https://tsung-wei-huang.github.io/">Dr. Tsung-Wei Huang</a>, 2018&ndash;2022.<br />Generated by <a href="https://doxygen.org/">Doxygen</a> 1.8.20 and <a href="https://mcss.mosra.cz/">m.css</a>.</p>
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