• DocumentCode
    1458335
  • Title

    Beyond Traditional Microprocessors for Geoscience High-Performance Computing Applications

  • Author

    Lindtjorn, Olav ; Clapp, Robert G. ; Pell, Oliver ; Fu, Haohuan ; Flynn, Michael J. ; Haohuan Fu

  • Author_Institution
    Stanford Univ., Stanford, CA, USA
  • Volume
    31
  • Issue
    2
  • fYear
    2011
  • Firstpage
    41
  • Lastpage
    49
  • Abstract
    The oil and gas industry is a major user of high-performance computing, and geoscience computational cycles are dominated by kernels that are relatively few and well defined. This project explores accelerating geoscience applications using FPGA-based hardware, optimizing the algorithm and the hardware to achieve maximum performance. This approach can deliver speedup of 20 to 70 times compared with a conventional HPC node.
  • Keywords
    field programmable gate arrays; microprocessor chips; natural gas technology; petroleum industry; production engineering computing; FPGA-based hardware; gas industry; geoscience computational cycles; geoscience high-performance computing; microprocessors; oil industry; Acceleration; Bandwidth; Computational modeling; Field programmable gate arrays; Hardware; Kernel; Sparse matrices; field-programmable gate array; geosciences; high-performance computing;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2011.17
  • Filename
    5719584
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1458335