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<title>cudaFlow Algorithms » Single Task | Taskflow QuickStart</title>
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<h1>
<span class="m-breadcrumb"><a href="cudaFlowAlgorithms.html">cudaFlow Algorithms</a> »</span>
Single Task
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<h3>Contents</h3>
<ul>
<li><a href="#CUDASingleTaskIncludeTheHeader">Include the Header</a></li>
<li><a href="#SingleTaskCUDASingleTask">Run a Task with a Single Thread</a></li>
<li><a href="#SingleTaskCUDAMiscellaneousItems">Miscellaneous Items</a></li>
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<p><a href="classtf_1_1cudaFlow.html" class="m-doc">tf::<wbr />cudaFlow</a> provides a template method, <a href="classtf_1_1cudaFlow.html#ac2906cb0002fc411a983d100a3d58d62" class="m-doc">tf::<wbr />cudaFlow::<wbr />single_task</a>, for creating a task to run the given callable using a single kernel thread.</p><section id="CUDASingleTaskIncludeTheHeader"><h2><a href="#CUDASingleTaskIncludeTheHeader">Include the Header</a></h2><p>You need to include the header file, <code>taskflow/cuda/algorithm/for_each.hpp</code>, for creating a single-threaded task.</p></section><section id="SingleTaskCUDASingleTask"><h2><a href="#SingleTaskCUDASingleTask">Run a Task with a Single Thread</a></h2><p>You can create a task to run a kernel function just once, i.e., using one GPU thread. This is handy when you want to set up a single or a few global variables that do not need multiple threads and will be used by multiple kernels afterwards. The following example creates a single-task kernel that sets <code>gpu_variable</code> to 1.</p><pre class="m-code"><span class="kt">int</span><span class="o">*</span> <span class="n">gpu_variable</span><span class="p">;</span>
<span class="n">cudaMalloc</span><span class="p">(</span><span class="o">&</span><span class="n">gpu_variable</span><span class="p">,</span> <span class="k">sizeof</span><span class="p">(</span><span class="kt">int</span><span class="p">));</span>
<span class="n">tf</span><span class="o">::</span><span class="n">Task</span> <span class="o">=</span> <span class="n">taskflow</span><span class="p">.</span><span class="n">emplace</span><span class="p">([</span><span class="o">&</span><span class="p">]</span> <span class="p">(</span><span class="n">tf</span><span class="o">::</span><span class="n">cudaFlow</span><span class="o">&</span> <span class="n">cf</span><span class="p">)</span> <span class="p">{</span>
<span class="c1">// create a single task to set the gpu_variable to 1</span>
<span class="n">tf</span><span class="o">::</span><span class="n">cudaTask</span> <span class="n">set_par</span> <span class="o">=</span> <span class="n">cf</span><span class="p">.</span><span class="n">single_task</span><span class="p">([</span><span class="n">gpu_variable</span><span class="p">]</span> <span class="n">__device__</span> <span class="p">()</span> <span class="p">{</span>
<span class="o">*</span><span class="n">gpu_variable</span> <span class="o">=</span> <span class="mi">1</span><span class="p">;</span>
<span class="p">})</span>
<span class="c1">// create two kernel tasks that need access to gpu_variable</span>
<span class="n">tf</span><span class="o">::</span><span class="n">cudaTask</span> <span class="n">kernel1</span> <span class="o">=</span> <span class="n">cf</span><span class="p">.</span><span class="n">kernel</span><span class="p">(</span><span class="n">grid1</span><span class="p">,</span> <span class="n">block1</span><span class="p">,</span> <span class="n">shm1</span><span class="p">,</span> <span class="n">my_kernel_1</span><span class="p">,</span> <span class="p">...);</span>
<span class="n">tf</span><span class="o">::</span><span class="n">cudaTask</span> <span class="n">kernel2</span> <span class="o">=</span> <span class="n">cf</span><span class="p">.</span><span class="n">kernel</span><span class="p">(</span><span class="n">grid2</span><span class="p">,</span> <span class="n">block2</span><span class="p">,</span> <span class="n">shm2</span><span class="p">,</span> <span class="n">my_kernel_2</span><span class="p">,</span> <span class="p">...);</span>
<span class="n">set_par</span><span class="p">.</span><span class="n">precede</span><span class="p">(</span><span class="n">kernel1</span><span class="p">,</span> <span class="n">kernel2</span><span class="p">);</span>
<span class="p">});</span></pre><p>Since the callable runs on GPU, it must be declared with a <code>__device__</code> specifier.</p></section><section id="SingleTaskCUDAMiscellaneousItems"><h2><a href="#SingleTaskCUDAMiscellaneousItems">Miscellaneous Items</a></h2><p>The single-task algorithm is also available in <a href="classtf_1_1cudaFlowCapturer.html#ac944c7d20056e0633ef84f1a25b52296" class="m-doc">tf::<wbr />cudaFlowCapturer::<wbr />single_task</a>.</p></section>
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