mirror of
https://github.com/NVIDIA/cuda-samples.git
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88 lines
2.4 KiB
XML
88 lines
2.4 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
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<entry>
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<name>shfl_scan</name>
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<cflags>
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<flag>--std=c++11</flag>
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<flag>-O3</flag>
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</cflags>
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<cuda_api_list>
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<toolkit>cudaMemcpy</toolkit>
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<toolkit>cudaFree</toolkit>
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<toolkit>cudaMallocHost</toolkit>
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<toolkit>cudaEventSynchronize</toolkit>
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<toolkit>cudaEventRecord</toolkit>
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<toolkit>cudaFreeHost</toolkit>
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<toolkit>cudaGetDevice</toolkit>
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<toolkit>cudaMemset</toolkit>
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<toolkit>cudaMalloc</toolkit>
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<toolkit>cudaEventElapsedTime</toolkit>
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<toolkit>cudaGetDeviceProperties</toolkit>
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<toolkit>cudaEventCreate</toolkit>
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</cuda_api_list>
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<description><![CDATA[This example demonstrates how to use the shuffle intrinsic __shfl_up_sync to perform a scan operation across a thread block. ]]></description>
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<devicecompilation>whole</devicecompilation>
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<includepaths>
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<path>./</path>
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<path>../</path>
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<path>../../../Common</path>
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</includepaths>
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<keyconcepts>
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<concept level="advanced">Data-Parallel Algorithms</concept>
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<concept level="advanced">Performance Strategies</concept>
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</keyconcepts>
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<keywords>
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<keyword>GPGPU</keyword>
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<keyword>CPP11</keyword>
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<keyword>CUDA</keyword>
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<keyword>scan</keyword>
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<keyword>parallel prefix sum</keyword>
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<keyword>Data-Parallel Algorithms</keyword>
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</keywords>
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<libraries>
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</libraries>
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<librarypaths>
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</librarypaths>
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<nsight_eclipse>true</nsight_eclipse>
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<primary_file>shfl_scan.cu</primary_file>
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<required_dependencies>
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<dependency>CPP11</dependency>
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</required_dependencies>
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<scopes>
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<scope>1:CUDA Advanced Topics</scope>
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<scope>1:Data-Parallel Algorithms</scope>
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<scope>1:Performance Strategies</scope>
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</scopes>
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<supported_envs>
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<env>
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<arch>x86_64</arch>
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<platform>linux</platform>
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</env>
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<env>
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<platform>windows7</platform>
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</env>
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<env>
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<arch>x86_64</arch>
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<platform>macosx</platform>
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</env>
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<env>
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<arch>arm</arch>
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</env>
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<env>
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<arch>aarch64</arch>
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</env>
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<env>
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<arch>sbsa</arch>
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</env>
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<env>
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<arch>ppc64le</arch>
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<platform>linux</platform>
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</env>
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</supported_envs>
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<supported_sm_architectures>
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<from>3.5</from>
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</supported_sm_architectures>
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<title>CUDA Parallel Prefix Sum with Shuffle Intrinsics (SHFL_Scan)</title>
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<type>exe</type>
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</entry>
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