• DocumentCode
    1129071
  • Title

    Hardware Technologies for High-Performance Data-Intensive Computing

  • Author

    Gokhale, Maya ; Cohen, Jonathan ; Yoo, Andy ; Miller, W. Marcus ; Jacob, Arpith ; Ulmer, Craig ; Pearce, Roger

  • Author_Institution
    Lawrence Livermore Nat. Lab., Livermore
  • Volume
    41
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    60
  • Lastpage
    68
  • Abstract
    Data-intensive problems challenge conventional computing architectures with demanding CPU, memory, and I/O requirements. Experiments with three benchmarks suggest that emerging hardware technologies can significantly boost performance of a wide range of applications by increasing compute cycles and bandwidth and reducing latency.
  • Keywords
    computer architecture; CPU requirements; I/O requirements; benchmarks; computing architectures; hardware technologies; high-performance data-intensive computing; memory requirements; Application software; Bandwidth; Computer architecture; Computer displays; Coprocessors; Delay; Field programmable gate arrays; Graphics; Hardware; Universal Serial Bus; FPGAs; GPUs; computer systems; data management; data science; data-intensive computing; image resampling; language analysis; semantic graphs; solid-state storage;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2008.125
  • Filename
    4488252
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1129071