The Scientific Impact of the Exascale Computing Project

被引：0
|
作者：
Draeger, Erik W. [1 ]
Siegel, Andrew [2 ]
Gottlieb, Steven [3 ]
机构：
[1] Lawrence Livermore National Laboratory, Livermore,CA,94550, United States
[2] Argonne National Laboratory, University of Chicago, Chicago,IL,60637, United States
[3] Indiana University, Bloomington,IN,47405, United States
来源：
Computing in Science and Engineering | 2024年 / 26卷 / 02期
关键词：
Supercomputers;
D O I：
10.1109/MCSE.2024.3437608
中图分类号：
学科分类号：
摘要：
The recent arrival of the Frontier Supercomputer at Oak Ridge National Laboratory officially marked the dawn of the exascale computing era. Its successful deployment coincided with the culmination of the U.S. Department of Energy Exascale Computing Project (ECP), an ambitious, complex, and risky research and development effort that integrated contributions from a broad and diverse subset of the high-performance computing community. The success of ECP will ultimately be judged by the scientific and engineering advances that it enabled. This Special Issue is focused on showcasing early successes in the use of exascale resources to enable breakthroughs in key areas of science in engineering. © 2024 IEEE.
引用
收藏
页码：4 / 6
相关论文
共 50 条
  • [1] The Exascale Computing Project
    Messina, Paul
    COMPUTING IN SCIENCE & ENGINEERING, 2017, 19 (03) : 63 - 67
  • [2] Training Efforts in the Exascale Computing Project
    Marques, Osni
    Barker, Ashley
    COMPUTING IN SCIENCE & ENGINEERING, 2020, 22 (05) : 103 - 107
  • [3] Multiphysics coupling in the Exascale computing project
    Evans, Thomas M.
    White, Julia C.
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2022, 36 (01): : 3 - 4
  • [4] Preparing Scientific Application Software for Exascale Computing
    Astrom, J. A.
    Carter, A.
    Hetherington, J.
    Ioakimidis, K.
    Lindahl, E.
    Mozdzynski, G.
    Nash, R. W.
    Schlatter, P.
    Signell, A.
    Westerholm, J.
    APPLIED PARALLEL AND SCIENTIFIC COMPUTING (PARA 2012), 2013, 7782 : 27 - 42
  • [5] A survey of MPI usage in the US exascale computing project
    Bernholdt, David E.
    Boehm, Swen
    Bosilca, George
    Venkata, Manjunath Gorentla
    Grant, Ryan E.
    Naughton, Thomas
    Pritchard, Howard P.
    Schulz, Martin
    Vallee, Geoffroy R.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (03):
  • [6] AMReX and pyAMReX: Looking beyond the exascale computing project
    Myers, Andrew
    Zhang, Weiqun
    Almgren, Ann
    Antoun, Thierry
    Bell, John
    Huebl, Axel
    Sinn, Alexander
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2024, : 599 - 611
  • [7] Co-design in the Exascale Computing Project Introduction
    Germann, Timothy C.
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2021, 35 (06): : 503 - 507
  • [8] The SAGE Project: a Storage Centric Approach for Exascale Computing
    Narasimhamurthy, Sai
    Danilov, Nikita
    Wu, Sining
    Umanesan, Ganesan
    Chien, Steven Wei Der
    Rivas-Gomez, Sergio
    Peng, Ivy Bo
    Laure, Erwin
    de Witt, Shaun
    Pleiter, Dirk
    Markidis, Stefano
    2018 ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, 2018, : 287 - 292
  • [9] A survey of software implementations used by application codes in the Exascale Computing Project
    Evans, Thomas M.
    Siegel, Andrew
    Draeger, Erik W.
    Deslippe, Jack
    Francois, Marianne M.
    Germann, Timothy C.
    Hart, William E.
    Martin, Daniel F.
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2022, 36 (01): : 5 - 12
  • [10] Performance Portability in the Exascale Computing Project: Exploration Through a Panel Series
    Dubey, Anshu
    McInnes, Lois Curfman
    Thakur, Rajeev
    Draeger, Erik W.
    Evans, Thomas
    Germann, Timothy C.
    Hart, William E.
    COMPUTING IN SCIENCE & ENGINEERING, 2021, 23 (05) : 46 - 54
12345