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68 lines
2.1 KiB
XML
68 lines
2.1 KiB
XML
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<?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>tf32TensorCoreGemm</name>
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<cflags>
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<flag>--std=c++11</flag>
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</cflags>
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<cuda_api_list>
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<toolkit>cudaMalloc</toolkit>
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<toolkit>cudaDeviceSynchronize</toolkit>
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<toolkit>cudaFuncSetAttribute</toolkit>
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<toolkit>cudaEventCreate</toolkit>
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<toolkit>cudaEventRecord</toolkit>
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<toolkit>cudaEventSynchronize</toolkit>
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<toolkit>cudaEventElapsedTime</toolkit>
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<toolkit>cudaFree</toolkit>
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</cuda_api_list>
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<description><![CDATA[A CUDA sample demonstrating tf32 (e8m10) GEMM computation using the Warp Matrix Multiply and Accumulate (WMMA) API introduced with CUDA 11 in Ampere chip family tensor cores for faster matrix operations. This sample also uses async copy provided by cuda pipeline interface for gmem to shmem async loads which improves kernel performance and reduces register presssure.]]></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/inc</path>
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</includepaths>
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<keyconcepts>
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<concept level="basic">Matrix Multiply</concept>
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<concept level="advanced">WMMA</concept>
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<concept level="advanced">Tensor Cores</concept>
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</keyconcepts>
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<keywords>
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<keyword>matrix multiply</keyword>
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<keyword>Async copy</keyword>
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<keyword>CPP11</keyword>
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<keyword>GCC 5.0.0</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>tf32TensorCoreGemm.cu</primary_file>
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<scopes>
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<scope>1:CUDA Basic Topics</scope>
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</scopes>
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<sm-arch>sm80</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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<arch>aarch64</arch>
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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>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>8.0</from>
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</supported_sm_architectures>
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<title>tf32 Tensor Core GEMM</title>
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<type>exe</type>
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</entry>
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