Computational Requirements in Clean Energy and Manufacturing: Summary report of the virtual workshop held on June 28-29, 2021
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- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
On June 28–29, 2021, the US Department of Energy’s (DOE’s) Advanced Scientific Computing Research (ASCR) program in the Office of Science convened a workshop with the Energy Efficiency and Renew able Energy (EERE) program offices to assess the future need for advanced computing resources in the areas of clean energy and advanced manufacturing. In part, this discussion served as an update to earlier workshops and townhalls. ASCR is guided by DOE mission needs as it develops research programs, computers, and networks at the leading edge of technologies. As the exascale computing era dawns, technology changes are creating new opportunities for those who must use high-performance computing (HPC) and data systems effectively. The ASCR computing facilities are augmenting their strategy to adapt to changing science needs and emerging technologies and to leverage the utility of exascale computing across the federal government.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1971039
- Report Number(s):
- ORNL/SPR--2023/2707
- Country of Publication:
- United States
- Language:
- English
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