• DocumentCode
    1994065
  • Title

    HCW 2013 Keynote Talk

  • Author

    Dongarra, Jack

  • Author_Institution
    Univ. of Tennessee, Knoxville, TN, USA
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    6
  • Lastpage
    6
  • Abstract
    Summary form only given. The talk highlights the emerging technologies in high performance computing. We look at the development of accelerators and some of the accomplishments in the Matrix Algebra on GPU and Multicore Architectures (MAGMA) project. We use a hybridization methodology that is built on representing linear algebra algorithms as collections of tasks and data dependencies, as well as properly scheduling the tasks´ execution over the available multicore and GPU hardware components.
  • Keywords
    graphics processing units; matrix algebra; multiprocessing systems; parallel processing; GPU; MAGMA; high performance computing; hybridization methodology; linear algebra algorithms; matrix algebra; multicore architectures; Awards activities; Educational institutions; Graphics processing units; High performance computing; Laboratories; Lifting equipment; Multicore processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-4979-8
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2013.281
  • Filename
    6650866
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1994065