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<title>syclFlow Algorithms » Parallel Transforms | Taskflow QuickStart</title>
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<h1>
<span class="m-breadcrumb"><a href="syclFlowAlgorithms.html">syclFlow Algorithms</a> »</span>
Parallel Transforms
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<h3>Contents</h3>
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<li><a href="#IteratorBasedParallelTransformSYCL">Iterator-based Parallel Transforms</a></li>
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<p><a href="classtf_1_1syclFlow.html" class="m-doc">tf::<wbr />syclFlow</a> provides a template method, <a href="classtf_1_1syclFlow.html#ae278939334a90b6d58d8771e87b2e793" class="m-doc">tf::<wbr />syclFlow::<wbr />transform</a>, for creating a task to perform parallel transforms by applying the given function to a range of item and stores the transformed result in another range.</p><section id="IteratorBasedParallelTransformSYCL"><h2><a href="#IteratorBasedParallelTransformSYCL">Iterator-based Parallel Transforms</a></h2><p>Iterator-based parallel-transform applies the given transform function to a range of items and store the result in another range specified by two iterators, <code>first</code> and <code>last</code>. The two iterators are typically two raw pointers to the first element and the next to the last element in the range in GPU memory space. The task created by <a href="classtf_1_1syclFlow.html#ae278939334a90b6d58d8771e87b2e793" class="m-doc">tf::<wbr />syclFlow::<wbr />transform</a>(I first, I last, C&& callable, S... srcs) represents a kernel of parallel execution for the following loop:</p><pre class="m-code"><span class="k">while</span><span class="w"> </span><span class="p">(</span><span class="n">first</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="n">last</span><span class="p">)</span><span class="w"> </span><span class="p">{</span><span class="w"></span>
<span class="w"> </span><span class="o">*</span><span class="n">first</span><span class="o">++</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">callable</span><span class="p">(</span><span class="o">*</span><span class="n">src1</span><span class="o">++</span><span class="p">,</span><span class="w"> </span><span class="o">*</span><span class="n">src2</span><span class="o">++</span><span class="p">,</span><span class="w"> </span><span class="o">*</span><span class="n">src3</span><span class="o">++</span><span class="p">,</span><span class="w"> </span><span class="p">...);</span><span class="w"></span>
<span class="p">}</span><span class="w"></span></pre><p>The two iterators, <code>first</code> and <code>last</code>, are typically two raw pointers to the first element and the next to the last element in the range. The following example creates a <code>transform</code> kernel that assigns each element, starting from <code>gpu_data</code> to <code>gpu_data + 1000</code>, to the sum of the corresponding elements at <code>gpu_data_x</code>, <code>gpu_data_y</code>, and <code>gpu_data_z</code>.</p><pre class="m-code"><span class="n">taskflow</span><span class="p">.</span><span class="n">emplace_on</span><span class="p">([](</span><span class="n">tf</span><span class="o">::</span><span class="n">syclFlow</span><span class="o">&</span><span class="w"> </span><span class="n">sf</span><span class="p">){</span><span class="w"></span>
<span class="w"> </span><span class="c1">// gpu_data[i] = gpu_data_x[i] + gpu_data_y[i] + gpu_data_z[i]</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">syclTask</span><span class="w"> </span><span class="n">task</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">sf</span><span class="p">.</span><span class="n">transform</span><span class="p">(</span><span class="w"></span>
<span class="w"> </span><span class="n">gpu_data</span><span class="p">,</span><span class="w"> </span><span class="n">gpu_data</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1000</span><span class="p">,</span><span class="w"> </span>
<span class="w"> </span><span class="p">[]</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="w"> </span><span class="n">xi</span><span class="p">,</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">yi</span><span class="p">,</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">zi</span><span class="p">)</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">xi</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">yi</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">zi</span><span class="p">;</span><span class="w"> </span><span class="p">},</span><span class="w"></span>
<span class="w"> </span><span class="n">gpu_data_x</span><span class="p">,</span><span class="w"> </span><span class="n">gpu_data_y</span><span class="p">,</span><span class="w"> </span><span class="n">gpu_data_z</span><span class="w"></span>
<span class="w"> </span><span class="p">);</span><span class="w"> </span>
<span class="p">},</span><span class="w"> </span><span class="n">sycl_queue</span><span class="p">);</span><span class="w"></span></pre><p>Each iteration is independent of each other and is assigned one kernel thread to run the callable.</p></section>
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