• DocumentCode
    3147876
  • Title

    iWarp: an integrated solution to high-speed parallel computing

  • Author

    Borkar, Shekhar ; Cohn, Robert ; Cox, George ; Gleason, Sha ; Gross, Thomas ; Kung, H.T. ; Lam, Monica ; Moore, Brian ; Peterson, Craig ; Pieper, John ; Rankin, Linda ; Tseng, P.S. ; Sutton, Jim ; Urbanski, John ; Webb, Jon

  • Author_Institution
    Intel Corp., Hillsboro, OR, USA
  • fYear
    1988
  • fDate
    14-18 Nov 1988
  • Firstpage
    330
  • Lastpage
    339
  • Abstract
    A description is given of the iWarp architecture and how it supports various communication models and system configurations. The heart of an iWarp system is the iWarp component: a single-chip processor that requires only the addition of memory chips to form a complete system building block, called the iWarp cell. Each iWarp component contains both a powerful computation engine that runs at 20 MFLOPS (million floating-point operations per second) and a high-throughput (320 Mb/s), low-latency (100-150-ns) communication engine for interfacing with other iWarp cells. Because of their strong computation and communication capabilities, the iWarp components provide a versatile building block for high-performance parallel systems ranging from special-purpose systolic arrays to general-purpose distributed memory computers. They can support both fine-grain parallel and coarse-grain distributed computation models simultaneously in the same system. The initial iWarp demonstration system consists of an 8×8 torus of iWarp cells, delivering more than 1.2 GFLOP (billions of FLOPS). It can be expanded to include up to 1024 cells
  • Keywords
    parallel architectures; 20 MFLOPS; coarse-grain distributed computation models; communication models; fine-grain parallel; general-purpose distributed memory computers; high-speed parallel computing; iWarp architecture; integrated solution; memory chips; single-chip processor; special-purpose systolic arrays; system configurations; Computational modeling; Computer architecture; Computer interfaces; Concurrent computing; Distributed computing; Engines; Heart; Parallel processing; Power system modeling; Systolic arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing '88. [Vol.1]., Proceedings.
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-8186-0882-X
  • Type

    conf

  • DOI
    10.1109/SUPERC.1988.44670
  • Filename
    44670