• DocumentCode
    236566
  • Title

    Application Characterization Using Oxbow Toolkit and PADS Infrastructure

  • Author

    Sreepathi, Sarat ; Grodowitz, M.L. ; Lim, Robert ; Taffet, Philip ; Roth, Philip C. ; Meredith, Jeremy ; Seyong Lee ; Dong Li ; Vetter, Jeffrey

  • Author_Institution
    Oak Ridge Nat. Lab., Oak Ridge, TN, USA
  • fYear
    2014
  • fDate
    17-17 Nov. 2014
  • Firstpage
    55
  • Lastpage
    63
  • Abstract
    Characterizing the behavior of a scientific application and its associated proxy application is essential for determining whether the proxy application actually does mimic the full application. To support our ongoing characterization activities, we have developed the Oxbow toolkit and an associated data store infrastructure for collecting, storing, and querying this characterization information. This paper presents recent updates to the Oxbow toolkit and introduces the Oxbow project´s Performance Analytics Data Store (PADS). To demonstrate the possible insights when using the toolkit and data store, we compare the characterizations of several full and proxy applications, along with the High Performance Linpack (HPL) and High Performance Conjugate Gradient (HPCG) benchmarks. Using techniques such as cluster visualizations of PADS data across many experiments, we found that the results show unexpected similarities and differences between proxy applications, and a greater similarity of proxy applications to HPCG than to HPL along many dimensions.
  • Keywords
    benchmark testing; conjugate gradient methods; parallel processing; query processing; scientific information systems; HPCG benchmark; HPL benchmark; High Performance Conjugate Gradient benchmark; High Performance Linpack benchmark; Oxbow project; Oxbow toolkit; PADS infrastructure; associated data store infrastructure; characterization information collection; characterization information querying; characterization information storage; cluster visualizations; performance analytics data store; proxy application; scientific application behavior characterization; Benchmark testing; Computer architecture; Data models; Databases; Measurement; Portals; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hardware-Software Co-Design for High Performance Computing (Co-HPC), 2014
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/Co-HPC.2014.11
  • Filename
    7017964