• DocumentCode
    1918066
  • Title

    Poster: Big Data Networking at Fermilab

  • Author

    Demar, Phillip J. ; Dykstra, David ; Garzoglio, Gabriele ; Mhashilkar, Parag ; Rajendran, Anupam ; Wu, Wenji

  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    1400
  • Lastpage
    1400
  • Abstract
    Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment´s US Tier-1 Center, the largest of the LHC Tier-1s. The Laboratory must deal with both scaling and wide-area distribution challenges in processing its CMS data. Fortunately, evolving technologies in the form of 100Gigabit ethernet, multi-core architectures, and GPU processing provide tools to help meet these challenges. Current Fermilab R&D efforts in these areas include optimization of network I/O handling in multi-core systems, modification of middleware to improve application performance in 100GE network environments, and network path reconfiguration and analysis for effective use of high bandwidth networks. This poster will describe the ongoing network-related R&D activities at Fermilab as a mosaic of efforts that combine to facilitate big data processing and movement.
  • Keywords
    100GE network; GPU processing; Large Hadron Collider experiments; big data processing; multi-core systems; scaling; wide-area distribution;
  • 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.2012.215
  • Filename
    6495998