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Randomized Algorithms for Scientific Computing (RASC)

Conference ·
DOI:https://doi.org/10.2172/1807223· OSTI ID:1807223
 [1];  [2];  [3];  [3];  [4];  [2];  [5];  [6];  [7];  [8];  [9];  [10];  [6];  [11];  [12];  [9];  [13];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
  4. Brookhaven National Lab. (BNL), Upton, NY (United States)
  5. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  7. Univ. of California, Davis, CA (United States)
  8. Univ. of Texas, Austin, TX (United States)
  9. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  10. Univ. of California, Berkeley, CA (United States)
  11. Univ. of California, Santa Cruz, CA (United States)
  12. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  13. Univ. of Wisconsin, Madison, WI (United States)
+ Show Author Affiliations

Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office of Science priority areas such as climate science, astrophysics, fusion, advanced materials, combustion, and quantum computing all require randomized algorithms for surmounting challenges of complexity, robustness, and scalability. This report summarizes the outcomes of that workshop, "Randomized Algorithms for Scientific Computing (RASC)," held virtually across four days in December 2020 and January 2021.

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:
1807223
Country of Publication:
United States
Language:
English

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Related Subjects

97 MATHEMATICS AND COMPUTING