Matrix Product (GEMM) Performance Data from GPUs
10.13139/OLCF/1819195Timing data for mixed precision GEMM matrix product operations on several GPU models, including NVIDIA V100 and A100, AMD MI100 and Intel P580. Also data from machine learning model training on this data using Scikit-learn.
Published: 2021-09-09 11:15:24 Download DatasetDataset Properties
Field | Value |
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Project Identifier | GEMM_Performance_Data |
Dataset Type | ND Numeric Data |
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Software Needed | gzip; tar |
Originating Organizations | Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) |
Sponsoring Organizations | Office of Science (SC);Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21) |
DOE Contract | DE-AC05-00OR22725 |
Acknowledgements
Papers using this dataset are requested to include the following text in their acknowledgements:
*Support for 10.13139/OLCF/1819195 is provided by the U.S. Department of Energy, project GEMM_Performance_Data under Contract DE-AC05-00OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.