mirror of
https://github.com/NVIDIA/cuda-samples.git
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62 lines
1.6 KiB
XML
62 lines
1.6 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>cuDLAStandaloneMode</name>
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<cflags>
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<flag>--std=c++11</flag>
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</cflags>
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<description><![CDATA[This sample demonstrates cuDLA standalone mode wherein DLA can be programmed without using CUDA.]]></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="basic">cuDLA</concept>
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<concept level="advanced">Data Parallel Algorithms</concept>
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<concept level="advanced">Image Processing</concept>
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</keyconcepts>
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<keywords>
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<keyword>CUDA</keyword>
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<keyword>CPP11</keyword>
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</keywords>
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<libraries>
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<library>nvscibuf</library>
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<library>nvscisync</library>
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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>main.cpp</primary_file>
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<required_dependencies>
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<dependency>NVSCI</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:cuDLA</scope>
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</scopes>
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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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<supported_envs>
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<env>
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<arch>aarch64</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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<platform>qnx</platform>
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</env>
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</supported_envs>
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<supported_sm_architectures>
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<from>6.0</from>
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</supported_sm_architectures>
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<title>cuDLA Standalone Mode</title>
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<type>exe</type>
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</entry>
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