MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems

2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)(2021)

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摘要
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of hardware resources and massive scale-out capabilities. There is a critical need to understand fair and effective benchmarking of machine learning appli...
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关键词
Training,Systematics,Processor scheduling,High performance computing,Computational modeling,Scalability,Machine learning
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