Map Applications to Target Exascale Architecture with Machine-Specific Performance Analysis, Including Challenges and Projections

  • Andrew Siegel
  • , Erik W. Draeger
  • , Jack Deslippe
  • , Thomas Evans
  • , Marianne M. Francois
  • , Timothy C. Germann
  • , Daniel F. Martin
  • , William Hart

    Research output: Other contributionTechnical Report

    Abstract

    This Exascale Computing Project (ECP) milestone report summarizes the status of all 30 ECP Applications Development (AD) subprojects at the end of FY20. In October and November of 2020, a comprehensive assessment of AD projects was conducted by the ECP leadership. Reviews occurred virtually between October 27, 2020 and November 12, 2020. The review committee—consisting of the AD lead, deputy, and L3—was tasked with evaluating each subproject’s progress in porting their codes to early exascale architectures considered precursors to the planned exascale machines. This includes characterizing which modules have been ported to multi-accelerator nodes, initial performance analyses, the status of software integration, and a current vision of successes, obstacles, and next steps. As such, this report contains not only an accurate snapshot of each subproject’s current status but also represents an unprecedentedly broad account of experiences in porting large scientific applications to next-generation high-performance computing architectures.
    Original languageEnglish
    Place of PublicationUnited States
    DOIs
    StatePublished - 2021

    Keywords

    • 97 MATHEMATICS AND COMPUTING

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