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

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

doi:10.2172/1838979

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

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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.

Authors:

Siegel, Andrew ^[1]; Draeger, Erik W. ^[2]; Deslippe, Jack ^[3];

^[4]; Francois, Marianne M. ^[5]; Germann, Timothy C. ^[5]; Martin, Daniel F. ^[3]; Hart, William ^[6]

Argonne National Lab. (ANL), Argonne, IL (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: 2021-03-31

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 1838979

Report Number(s):: ORNL/TM-2021/2103

DOE Contract Number:: AC05-00OR22725

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Siegel, Andrew, Draeger, Erik W., Deslippe, Jack, Evans, Thomas, Francois, Marianne M., Germann, Timothy C., Martin, Daniel F., and Hart, William. Map Applications to Target Exascale Architecture with Machine-Specific Performance Analysis, Including Challenges and Projections.  United States: N. p., 2021. 
        Web.  doi:10.2172/1838979.

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                    Siegel, Andrew, Draeger, Erik W., Deslippe, Jack, Evans, Thomas, Francois, Marianne M., Germann, Timothy C., Martin, Daniel F., & Hart, William. Map Applications to Target Exascale Architecture with Machine-Specific Performance Analysis, Including Challenges and Projections.  United States.  https://doi.org/10.2172/1838979

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                    Siegel, Andrew, Draeger, Erik W., Deslippe, Jack, Evans, Thomas, Francois, Marianne M., Germann, Timothy C., Martin, Daniel F., and Hart, William. 2021.  
        "Map Applications to Target Exascale Architecture with Machine-Specific Performance Analysis, Including Challenges and Projections".  United States.  https://doi.org/10.2172/1838979.  https://www.osti.gov/servlets/purl/1838979.

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@article{osti_1838979,

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

  author       = {Siegel, Andrew and Draeger, Erik W. and Deslippe, Jack and Evans, Thomas and Francois, Marianne M. and Germann, Timothy C. and Martin, Daniel F. and Hart, William},

  abstractNote = {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.},

  doi          = {10.2172/1838979},

  url          = {https://www.osti.gov/biblio/1838979},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {3}

}

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