• DocumentCode
    166671
  • Title

    POSTER: An innovative storage stack addressing extreme scale platforms and Big Data applications

  • Author

    Lofstead, Jay ; Jimenez, Ivo ; Maltzahn, Carlos ; Koziol, Quincey ; Bent, John ; Barton, Eric

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2014
  • fDate
    22-26 Sept. 2014
  • Firstpage
    280
  • Lastpage
    281
  • Abstract
    Current production HPC IO stack design is unlikely to offer sufficient features and performance to adequately serve extreme scale science platform requirements as well as Big Data problems. A joint effort between the US Department of Energy´s Office of Advanced Simulation and Computing and Advanced Scientific Computing Research commissioned a project to develop a design and prototype for an IO stack suitable for the extreme scale environment. It will be referred to as the Fast Forward Storage and IO (FFSIO) project. This is a joint effort led by Lawrence Livermore National Laboratory, with the DOE Data Management Nexus leads Rob Ross and Gary Grider as coordinators and contract lead Mark Gary.
  • Keywords
    Big Data; storage management; Advanced Scientific Computing Research; Big Data applications; DOE Data Management Nexus; FFSIO project; Fast Forward Storage and IO project; IO stack; Lawrence Livermore National Laboratory; Office of Advanced Simulation and Computing; US Department of Energy; extreme scale environment; storage stack; Arrays; Buffer storage; Containers; Hardware; Laboratories; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2014 IEEE International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2014.6968760
  • Filename
    6968760