• DocumentCode
    1917027
  • Title

    Poster: Assessing the Predictive Capabilities of Mini-applications

  • Author

    Barrett, Richard ; Crozier, Paul ; Doerfler, Douglas ; Hammond, Simon ; Heroux, Michael ; Lin, Peng ; Trucano, Tim ; Vaughan, Courtenay ; Willians, Alan

  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    1333
  • Lastpage
    1334
  • Abstract
    The push to exascale computing is informed by the assumption that the architecture, regardless of the specific design, will be fundamentally different from petascale computers. The Mantevo project has been established to produce a set of proxies, or “miniapps,” which enable rapid exploration of key performance issues that impact a broad set of scientific applications programs of interest to ASC and the broader HPC community. Understanding the conditions under which a miniapp can be confidently used as predictive of an applications´ behavior must be clearly elucidated. Toward this end, we have developed a methodology for assessing the predictive capabilities of application proxies. Adhering to the spirit of experimental validation, our approach provides a framework for examining data from the application with that provided by their proxies. In this poster we present this methodology, and apply it to three miniapps developed by the Mantevo project.
  • Keywords
    application program interfaces; parallel processing; HPC; Mantevo project; application behavior; application proxy; exascale computing; high performance computing; miniapplication; petascale computer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4673-6218-4
  • Type

    conf

  • DOI
    10.1109/SC.Companion.2012.169
  • Filename
    6495952