• DocumentCode
    1914138
  • Title

    Unprecedented Scalability and Performance of the New NNSA Tri-Lab Linux Capacity Cluster 2

  • Author

    Rajan, Mahesh ; Doerfler, D.W. ; Lin, P.T. ; Hammond, S.D. ; Barrett, Richard F. ; Vaughan, Courtenay T.

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    417
  • Lastpage
    425
  • Abstract
    As one of the largest users of supercomputing resources in the world, capacity computing is a critical component in the NNSA´s (National Nuclear Security Administration) Advanced Simulation and Computing (ASC) program. The latest acquisitions in this program - named the Tri-Lab Linux Capacity Cluster 2 (TLCC2) machines - have recently been installed at the three NNSA laboratories: Sandia National Laboratories, Los Alamos National Laboratories and Lawrence Livermore National Laboratories. In this paper we investigate performance on Chama, Sandia´s 1232 node cluster, with dual socket Intel Xeon Sandy Bridge processors connected using Qlogic QDR InfiniBand. Production applications benchmarked on Chama reveal significant improvements in the time to solution and scalability when compared against our earlier generation capacity clusters and a PetaFlops class capability machine.
  • Keywords
    Linux; parallel processing; pattern clustering; ASC program; Advanced Simulation and Computing program; Lawrence Livermore National Laboratories; Los Alamos National Laboratories; NNSA trilab Linux capacity cluster 2; National Nuclear Security Administration; PetaFlops class capability machine; Qlogic QDR InfiniBand; Sandia National Laboratories; TLCC2 machines; capacity computing; dual socket Intel Xeon Sandy Bridge processors; node cluster; production applications; supercomputing resources; unprecedented scalability; High Performance Computing; Parallel Architectures.; Scientific Applications;
  • 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.2012.61
  • Filename
    6495843