Article 4ZSQE MLPerf-HPC Working Group seeks participation

MLPerf-HPC Working Group seeks participation

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from High-Performance Computing News Analysis | insideHPC on (#4ZSQE)
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In this special guest feature, Murali Emani from Argonne writes that a team of scientists from DoE labs have formed a working group called MLPerf-HPC to focus on benchmarking machine learning workloads for high performance computing. "As machine learning (ML) is becoming a critical component to help run applications faster, improve throughput and understand the insights from the data generated from simulations, benchmarking ML methods with scientific workloads at scale will be important as we progress towards next generation supercomputers."

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