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arXiv · 2104.11079

Randomized Algorithms for Scientific Computing (RASC)

Aydin Buluc·Tamara G. Kolda·Stefan M. Wild·Mihai Anitescu·Anthony DeGennaro·John Jakeman·Chandrika Kamath·Ramakrishnan Kannan·Miles E. Lopes·Per-Gunnar Martinsson·Kary Myers·Jelani Nelson·Juan M. Restrepo·C. Seshadhri·Draguna Vrabie·Brendt Wohlberg·Stephen J. Wright·Chao Yang·Peter Zwart
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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.

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Aydin Buluc, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart. 2021-04-19. Randomized Algorithms for Scientific Computing (RASC). https://doi.org/10.2172/1807223

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