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updated sycl docs · PentaBug/taskflow@a3dac4d · GitHub

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updated sycl docs
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‎README.md‎

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## Offload a Task to a GPU
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Taskflow supports heterogeneous tasking for you
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to accelerate many data-driven scientific computing applications
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by harnessing the power of CPU-GPU collaborative computing.
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Taskflow supports GPU tasking for you to accelerate a wide range of scientific computing applications by harnessing the power of CPU-GPU collaborative computing using CUDA.
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```cpp
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// saxpy kernel
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<p align="center"><img src="doxygen/images/saxpy_1_cudaflow.svg"></p>
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%Taskflow also supports SYCL, a general-purpose heterogeneous programming model,
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to program GPU tasks in a single-source C++ environment using the task graph-based
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approach.
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```cpp
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tf::Task syclflow = taskflow.emplace_on([&](tf::syclFlow& sf){
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tf::syclTask h2d_x = cf.copy(dx, hx.data(), N).name("h2d_x");
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tf::syclTask h2d_y = cf.copy(dy, hy.data(), N).name("h2d_y");
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tf::syclTask d2h_x = cf.copy(hx.data(), dx, N).name("d2h_x");
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tf::syclTask d2h_y = cf.copy(hy.data(), dy, N).name("d2h_y");
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tf::syclTask saxpy = sf.parallel_for(sycl::range<1>(N),
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[=] (sycl::id<1> id) {
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dx[id] = 2.0f * dx[id] + dy[id];
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}
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).name("saxpy");
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saxpy.succeed(h2d_x, h2d_y)
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.precede(d2h_x, d2h_y);
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}, sycl_queue).name("syclFlow");
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```
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## Compose Task Graphs
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Taskflow is composable.
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+ AppleClang Xode Version at least v12.0 with -std=c++17
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+ Nvidia CUDA Toolkit and Compiler (nvcc) at least v11.1 with -std=c++17
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+ Intel C++ Compiler at least v19.0.1 with -std=c++17
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+ Intel oneAPI Clang C++ Compiler at least v13.0.0
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+ Intel DPC++ Clang Compiler at least v13.0.0 with -std=c++17 and SYCL20
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Taskflow works on Linux, Windows, and Mac OS X.
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‎docs/Algorithms.html‎

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<title>Taskflow Algorithms | Taskflow QuickStart</title>
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</head>

‎docs/AsyncTasking.html‎

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<title>Cookbook &raquo; Asynchronous Tasking | Taskflow QuickStart</title>
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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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‎docs/CUDAReduce.html‎

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<title>cudaFlow Algorithms &raquo; Parallel Reduction | Taskflow QuickStart</title>
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‎docs/CompileTaskflowWithCUDA.html‎

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<title>Building and Installing &raquo; Compile Taskflow with CUDA | Taskflow QuickStart</title>
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<h3>Contents</h3>
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<ul>
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<li><a href="#InstallCUDACompiler">Install CUDA Compiler</a></li>
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<li><a href="#CompileTaskflowWithCUDADirectly">Compile Source Code Directly</a></li>
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<li>
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<a href="#CompileTaskflowWithCUDASeparately">Compile Source Code Separately</a>
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<section id="CompileTaskflowWithCUDADirectly"><h2><a href="#CompileTaskflowWithCUDADirectly">Compile Source Code Directly</a></h2><p>Taskflow&#x27;s GPU programming interface for CUDA is <a href="classtf_1_1cudaFlow.html" class="m-doc">tf::<wbr />cudaFlow</a>. Consider the following <code>simple.cu</code> program that launches a single kernel function to output a message:</p><pre class="m-code"><span class="cp">#include</span> <span class="cpf">&lt;taskflow/taskflow.hpp&gt;</span><span class="c1"> // core taskflow routines</span><span class="cp"></span>
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<section id="InstallCUDACompiler"><h2><a href="#InstallCUDACompiler">Install CUDA Compiler</a></h2><p>To compile Taskflow with CUDA code, you need a <code>nvcc</code> compiler. Please visit the official page of <a href="https://developer.nvidia.com/cuda-downloads">Downloading CUDA Toolkit</a>.</p></section><section id="CompileTaskflowWithCUDADirectly"><h2><a href="#CompileTaskflowWithCUDADirectly">Compile Source Code Directly</a></h2><p>Taskflow&#x27;s GPU programming interface for CUDA is <a href="classtf_1_1cudaFlow.html" class="m-doc">tf::<wbr />cudaFlow</a>. Consider the following <code>simple.cu</code> program that launches a single kernel function to output a message:</p><pre class="m-code"><span class="cp">#include</span> <span class="cpf">&lt;taskflow/taskflow.hpp&gt;</span><span class="c1"> // core taskflow routines</span><span class="cp"></span>
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<span class="cp">#include</span> <span class="cpf">&lt;taskflow/cudaflow.hpp&gt;</span><span class="c1"> // core cudaflow routines</span><span class="cp"></span>
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<span class="kt">int</span> <span class="nf">main</span><span class="p">(</span><span class="kt">int</span> <span class="n">argc</span><span class="p">,</span> <span class="k">const</span> <span class="kt">char</span><span class="o">**</span> <span class="n">argv</span><span class="p">)</span> <span class="p">{</span>

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