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The COVID-19 High-Performance Computing Consortium

Journal Article · · Computing in Science and Engineering
 [1];  [2];  [3];  [3];  [4];  [2];  [2];  [5]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. IBM Research, Yorktown Heights, NY (United States)
  3. US Department of Energy (USDOE), Washington DC (United States)
  4. Univ. of Utah, Salt Lake City, UT (United States)
  5. Univ. of Illinois, Urbana, IL (United States)
In March of 2020, recognizing the potential of High Performance Computing (HPC) to accelerate understanding and the pace of scientific discovery in the fight to stop COVID-19, the HPC community assembled the largest collection of worldwide HPC resources to enable COVID-19 researchers worldwide to advance their critical efforts. Amazingly, the COVID-19 HPC Consortium was formed within one week through the joint effort of the Office of Science and Technology Policy (OSTP), the U.S. Department of Energy (DOE), the National Science Foundation (NSF), and IBM to create a unique public–private partnership between government, industry, and academic leaders. This article is the Consortium's story–how the Consortium was created, its founding members, what it provides, how it works, and its accomplishments. We will reflect on the lessons learned from the creation and operation of the Consortium and describe how the features of the Consortium could be sustained as a National Strategic Computing Reserve to ensure the nation is prepared for future crises.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1871397
Report Number(s):
LLNL-JRNL-835693; 1054452
Journal Information:
Computing in Science and Engineering, Journal Name: Computing in Science and Engineering Journal Issue: 1 Vol. 24; ISSN 1521-9615
Publisher:
IEEE Computer SocietyCopyright Statement
Country of Publication:
United States
Language:
English

References (2)

XSEDE: Accelerating Scientific Discovery journal September 2014
Managing Allocations on Your Research Resources?: XRAS is here to help!
  • Light, Rob; Banerjee, Alina; Soriano, Ester
  • PEARC '18: Practice and Experience in Advanced Research Computing, Proceedings of the Practice and Experience on Advanced Research Computing https://doi.org/10.1145/3219104.3229238
conference July 2018

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