2019 Computing Sciences Strategic Plan

Technical Report · Tue Oct 26 00:00:00 EDT 2021

DOI:https://doi.org/10.2172/1827673· OSTI ID:1827673

Yelick, Kathy ^[1]; Agarwal, Deb ^[1]; Bard, Debbie ^[1]; Shalf, John ^[1]; Almgren, Ann ^[1]; Bhimji, Wahid ^[1]; Brown, Ben ^[1]; Carter, Jonathan ^[1]; Jong, Bert De ^[1]; Doerfler, Doug ^[1]; Donofrio, David ^[1]; Guok, Chin ^[1]; Iancu, Costin ^[1]; Kiran, Mariam ^[1]; Li, Sherry ^[1]; Nugent, Peter ^[1]; Prabhat, M. ^[1]; Ramakrishnan, Lavanya ^[1]; Vasudevan, Dilip ^[1]; Wright, Nick ^[1] ; Cademartori, Helen ^[1]; Antypas, Katie ^[1]; Kincade, Kathy ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Computing has transformed nearly every aspect of scientific inquiry — across disciplines and across scales — from the behavior of subatomic particles to the formation of structures in the early universe, from the assembly of the human genome to the evolution of earth systems. Over the past two decades, computing has become an integral part of how Berkeley Lab is “Bringing Science Solutions to the World.” Advances in computing and mathematics have been key, with new mathematical models of complex physical phenomena, new methods for analyzing complex data, new algorithms for accuracy and scaling and sophisticated software systems that encapsulate these techniques into open, reusable tools. The performance of NERSC computers and the ESnet network have grown by several orders of magnitude, along with our understanding of how to map scientific computations and workflows onto these systems. From research to facility operations, the passion, talent and dedication of the Computing Sciences Area staff has been the cornerstone of our success. The plan outlined in this document describes the next step in a journey to expand the influence and impact of our efforts, building an increasingly connected global enterprise for science that places more powerful instruments in the hands of scientists, along with more powerful methods and tools for modeling, analysis and prediction.

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1827673
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING