科学计算(ARSC)的随机定数比值 (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

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.

翻译：随机算法推动了人工智能的进步,并代表了推进AI for Science的一个基础研究领域。 DOE科学办公室未来在气候科学、天体物理学、聚合、先进材料、燃烧和量子计算等优先领域的进展都需要随机算法来克服复杂、稳健和可缩放性的挑战。本报告总结了在2020年12月和2021年1月几乎连续四天举行的“科学计算定制算法(RASC)”研讨会的成果。