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U.S. Department of Energy
Office of Scientific and Technical Information

Proxy App Suite Release (FY2020)

Technical Report ·
DOI:https://doi.org/10.2172/1673331· OSTI ID:1673331
Version 4.0 of the ECP Proxy App Suite is practically unchanged from the previous release. The current set of proxies has proven useful for many aspects of benchmarking and co-design and we see little reason to alter the suite. Although there have been few changes to the ECP suite, the team has been hard at work in other areas. In the area of Machine Learning (ML) we have now created a separate proxy suite dedicated to this scientific applications of ML.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC)
Contributing Organization:
The ECP Proxy App Team
DOE Contract Number:
89233218CNA000001; AC52-07NA27344; NA0003525; AC05-00OR22725; AC02-06CH11357; AC02-05CH11231
OSTI ID:
1673331
Report Number(s):
LA-UR--20-27961
Country of Publication:
United States
Language:
English

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