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en:services:application_services:high_performance_computing:performance_engineering_and_analysis [2022/10/27 14:12] – jogaja | en:services:application_services:high_performance_computing:performance_engineering_and_analysis [2022/10/27 15:17] (current) – [Performance Engineering and Analysis Tools in SCC] jogaja | ||
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+ | ===== Performance Engineering and Analysis Tools in SCC ===== | ||
+ | Performance engineering, | ||
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+ | Performance analysis and optimization of HPC applications involve mainly three steps, application instrumentation, | ||
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+ | Performance tools currently available in SCC are: LIKWID, Score-P, Vampir, Scalasca and Nvidia Nsight. | ||
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+ | ==== Tools currently available on SCC ==== | ||
+ | * [[en: | ||
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