· Contributors · Organizations · Search
MLPerf: A Benchmark for Machine Learning
DescriptionMachine learning applications are rapidly expanding into scientific domains and challenging the hallmarks of traditional high performance computing workloads. We present MLPerf, a community-driven system performance benchmark which spans a range of machine learning tasks. The speakers at this BoF are experts in the fields of HPC, science applications, machine learning, and computer architecture, representing academia, government research organizations, and private industry. In this session, we will cover the past year’s development within the MLPerf organization and provide an update on the latest round of submissions to MLPerf-HPC benchmark suite to solicit input from interested parties within the HPC community.
Birds of a Feather