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Title: Randomized Algorithms for Scientific Computing (RASC)

Abstract

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.

Authors:
 [1];  [2];  [3];  [3];  [4];  [2];  [5]; ORCiD logo [6];  [7];  [8];  [9];  [10]; ORCiD logo [6];  [11];  [12];  [9];  [13];  [1];  [1]
+ Show Author Affiliations
  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)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1807223
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: RASC: Randomized Algorithms for Scientific Computing, Held Virtually, TN (United States), 2-3 Dec 2020
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Buluc, Aydin, Kolda, Tamara G., Wild, Stefan M., Anitescu, Mihai, Degennaro, Anthony, Jakeman, John D., Kamath, Chandrika, Kannan, Ramakrishnan, Lopes, Miles E., Martinsson, Per-Gunnar, Myers, Kary, Nelson, Jelani, Restrepo, Juan, Seshadri, C., Vrabie, Draguna, Wohlberg, Brendt, Wright, Stephen J., Yang, Chao, and Zwart, Peter. Randomized Algorithms for Scientific Computing (RASC). United States: N. p., 2021. Web. doi:10.2172/1807223.
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Buluc, Aydin, Kolda, Tamara G., Wild, Stefan M., Anitescu, Mihai, Degennaro, Anthony, Jakeman, John D., Kamath, Chandrika, Kannan, Ramakrishnan, Lopes, Miles E., Martinsson, Per-Gunnar, Myers, Kary, Nelson, Jelani, Restrepo, Juan, Seshadri, C., Vrabie, Draguna, Wohlberg, Brendt, Wright, Stephen J., Yang, Chao, & Zwart, Peter. Randomized Algorithms for Scientific Computing (RASC). United States. https://doi.org/10.2172/1807223
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Buluc, Aydin, Kolda, Tamara G., Wild, Stefan M., Anitescu, Mihai, Degennaro, Anthony, Jakeman, John D., Kamath, Chandrika, Kannan, Ramakrishnan, Lopes, Miles E., Martinsson, Per-Gunnar, Myers, Kary, Nelson, Jelani, Restrepo, Juan, Seshadri, C., Vrabie, Draguna, Wohlberg, Brendt, Wright, Stephen J., Yang, Chao, and Zwart, Peter. 2021. "Randomized Algorithms for Scientific Computing (RASC)". United States. https://doi.org/10.2172/1807223. https://www.osti.gov/servlets/purl/1807223.
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@article{osti_1807223,
title = {Randomized Algorithms for Scientific Computing (RASC)},
author = {Buluc, Aydin and Kolda, Tamara G. and Wild, Stefan M. and Anitescu, Mihai and Degennaro, Anthony and Jakeman, John D. and Kamath, Chandrika and Kannan, Ramakrishnan and Lopes, Miles E. and Martinsson, Per-Gunnar and Myers, Kary and Nelson, Jelani and Restrepo, Juan and Seshadri, C. and Vrabie, Draguna and Wohlberg, Brendt and Wright, Stephen J. and Yang, Chao and Zwart, Peter},
abstractNote = {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.},
doi = {10.2172/1807223},
url = {https://www.osti.gov/biblio/1807223}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {7}
}
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Conference:
View Conference (4.05 MB)
https://doi.org/10.2172/1807223
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