학술논문
Randomized Algorithms for Scientific Computing (RASC)
Document Type
Working Paper
Author
Buluc, Aydin; Kolda, Tamara G.; Wild, Stefan M.; Anitescu, Mihai; DeGennaro, Anthony; Jakeman, John; Kamath, Chandrika; Kannan, Ramakrishnan; Lopes, Miles E.; Martinsson, Per-Gunnar; Myers, Kary; Nelson, Jelani; Restrepo, Juan M.; Seshadhri, C.; Vrabie, Draguna; Wohlberg, Brendt; Wright, Stephen J.; Yang, Chao; Zwart, Peter
Source
Subject
Language
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.