Major Computer Science Challenges At Exascale

Author:

Geist Al1,Lucas Robert2

Affiliation:

1. OAK RIDGE NATIONAL LABORATORY, ROAD, OAK RIDGE, TN, USA,

2. COMPUTATIONAL SCIENCES DIVISION, INFORMATION SCIENCES INSTITUTE, UNIVERSITY OF SOUTHERN CALIFORNIA, MARINA DEL REY, CA, USA,

Abstract

Exascale systems will provide an unprecedented opportunity for science, one that will make it possible to use computation not only as a critical tool along with theory and experiment in understanding the behavior of the fundamental components of nature, but also for critical advances for the nation’s energy needs and security. To create exascale systems and software that will enable the US Department of Energy (DOE) to meet the science goals critical to the nation’s energy, ecological sustainability, and global security, we must focus on major architecture, software, algorithm, and data challenges, and build on newly emerging programming environments. Only with this new infrastructure will applications be able to scale up to the required levels of parallelism and integrate technologies into complex coupled systems for real-world multidisciplinary modeling and simulation. Achieving this goal will likely involve a shift from current static approaches for application development and execution to a combination of new software tools, algorithms, and dynamically adaptive methods.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference10 articles.

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3. Towards Maximum Throughput of Dataflow Software Pipeline under Resource Constraints;Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores;2023-02-25

4. Graph-Based Load Balancing Model for Exascale Computing Systems;11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021;2022

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