mirror of
https://github.com/NVIDIA/cuda-samples.git
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98 lines
3.1 KiB
XML
98 lines
3.1 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>simpleMultiCopy</name>
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<cuda_api_list>
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<toolkit>cudaMemset</toolkit>
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<toolkit>cudaFree</toolkit>
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<toolkit>cudaStreamDestroy</toolkit>
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<toolkit>cudaEventRecord</toolkit>
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<toolkit>cudaStreamCreate</toolkit>
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<toolkit>cudaHostAlloc</toolkit>
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<toolkit>cudaEventCreate</toolkit>
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<toolkit>cudaEventElapsedTime</toolkit>
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<toolkit>cudaDeviceSynchronize</toolkit>
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<toolkit>cudaEventSynchronize</toolkit>
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<toolkit>cudaFreeHost</toolkit>
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<toolkit>cudaMalloc</toolkit>
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<toolkit>cudaEventDestroy</toolkit>
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<toolkit>cudaSetDevice</toolkit>
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<toolkit>cudaMemcpyAsync</toolkit>
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<toolkit>cudaGetDeviceProperties</toolkit>
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</cuda_api_list>
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<description><![CDATA[Supported in GPUs with Compute Capability 1.1, overlapping compute with one memcopy is possible from the host system. For Quadro and Tesla GPUs with Compute Capability 2.0, a second overlapped copy operation in either direction at full speed is possible (PCI-e is symmetric). This sample illustrates the usage of CUDA streams to achieve overlapping of kernel execution with data copies to and from the device.]]></description>
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<devicecompilation>whole</devicecompilation>
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<files>
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<file>doc</file>
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<file>doc\C1060_CopyOverlap.cpj</file>
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<file>doc\C1060_CopyOverlap_Session1_Context_0.csv</file>
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<file>doc\GTX480_CopyOverlap.cpj</file>
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<file>doc\GTX480_CopyOverlap_Session1_Context_0.csv</file>
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</files>
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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="basic">CUDA Streams and Events</concept>
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<concept level="basic">Asynchronous Data Transfers</concept>
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<concept level="basic">Overlap Compute and Copy</concept>
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<concept level="basic">GPU Performance</concept>
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</keyconcepts>
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<keywords>
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<keyword>GPGPU</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>simpleMultiCopy.cu</primary_file>
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<scopes>
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<scope>1:CUDA Advanced Topics</scope>
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<scope>1:Performance Strategies</scope>
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</scopes>
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<sm-arch>sm35</sm-arch>
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<sm-arch>sm37</sm-arch>
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<sm-arch>sm50</sm-arch>
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<sm-arch>sm52</sm-arch>
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<sm-arch>sm53</sm-arch>
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<sm-arch>sm60</sm-arch>
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<sm-arch>sm61</sm-arch>
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<sm-arch>sm70</sm-arch>
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<sm-arch>sm72</sm-arch>
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<sm-arch>sm75</sm-arch>
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<sm-arch>sm80</sm-arch>
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<sm-arch>sm86</sm-arch>
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<sm-arch>sm87</sm-arch>
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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>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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<include>all</include>
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</supported_sm_architectures>
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<title>Simple Multi Copy and Compute</title>
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<type>exe</type>
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</entry>
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