<?xml version='1.0' encoding='UTF-8' standalone='no'?>

<doxygen xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="compound.xsd" version="1.9.1" xml:lang="en-US">

<compounddef id="CUDASTDSingleTask" kind="page">

<compoundname>CUDASTDSingleTask</compoundname>

<title>Single Task</title>

<tableofcontents>

<tocsect>

<name>Include the Header</name>

<reference>CUDASTDSingleTask_1CUDASTDSingleTaskIncludeTheHeader</reference>

</tocsect>

<tocsect>

<name>Run a Task with a Single Thread</name>

<reference>CUDASTDSingleTask_1CUDASTDSingleTaskRunATaskWithASingleThread</reference>

</tocsect>

</tableofcontents>

<briefdescription>

</briefdescription>

<detaileddescription>

<para>Taskflow provides a standard template method for running a callable using a single GPU thread.</para>

<sect1 id="CUDASTDSingleTask_1CUDASTDSingleTaskIncludeTheHeader">

<title>Include the Header</title>

<para>You need to include the header file, <computeroutput>taskflow/cuda/algorithm/for_each.hpp</computeroutput>, for creating a single-threaded task.</para>

<para><programlisting filename=".cpp"><codeline><highlight class="preprocessor">#include<sp/>&lt;<ref refid="for__each_8hpp" kindref="compound">taskflow/cuda/algorithm/for_each.hpp</ref>&gt;</highlight></codeline>

</programlisting></para>

</sect1>

<sect1 id="CUDASTDSingleTask_1CUDASTDSingleTaskRunATaskWithASingleThread">

<title>Run a Task with a Single Thread</title>

<para>You can launch a kernel with only one GPU thread running it, which is handy when you want to set up a single or a few variables that do not need multiple threads. The following example creates a single-task kernel that sets a device variable to <computeroutput>1</computeroutput>.</para>

<para><programlisting filename=".cpp"><codeline><highlight class="normal"><ref refid="classtf_1_1cudaStream" kindref="compound">tf::cudaStream</ref><sp/>stream;</highlight></codeline>

<codeline><highlight class="normal"><ref refid="classtf_1_1cudaExecutionPolicy" kindref="compound">tf::cudaDefaultExecutionPolicy</ref><sp/>policy(stream);</highlight></codeline>

<codeline><highlight class="normal"></highlight></codeline>

<codeline><highlight class="normal"></highlight><highlight class="comment">//<sp/>launch<sp/>the<sp/>single-task<sp/>kernel<sp/>asynchronously<sp/>through<sp/>the<sp/>policy</highlight><highlight class="normal"></highlight></codeline>

<codeline><highlight class="normal"><ref refid="namespacetf_1a2ff1cf81426c856fc6db1f6ead47878f" kindref="member">tf::cuda_single_task</ref>(policy,<sp/>[gpu_variable]<sp/>__device__<sp/>()<sp/>{</highlight></codeline>

<codeline><highlight class="normal"><sp/><sp/>*gpu_Variable<sp/>=<sp/>1;</highlight></codeline>

<codeline><highlight class="normal">});</highlight></codeline>

<codeline><highlight class="normal"></highlight></codeline>

<codeline><highlight class="normal"></highlight><highlight class="comment">//<sp/>wait<sp/>for<sp/>the<sp/>kernel<sp/>completes</highlight><highlight class="normal"></highlight></codeline>

<codeline><highlight class="normal">stream.<ref refid="classtf_1_1cudaStream_1a1a81d6005e8d60ad082dba2303a8aa30" kindref="member">synchronize</ref>();</highlight></codeline>

</programlisting></para>

<para>Since the callable runs on GPU, it must be declared with a <computeroutput>__device__</computeroutput> specifier. </para>

</sect1>

</detaileddescription>

<location file="cuda_std_algorithms/cuda_std_single_task.dox"/>

</compounddef>

</doxygen>