• DocumentCode
    480022
  • Title

    Matrix Inversion on a PIM (Processor-in-Memory)

  • Author

    Cha, Jae Chul ; Gupta, Sandeep K.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
  • Volume
    3
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    419
  • Lastpage
    422
  • Abstract
    Many computational applications in science and engineering involve solving matrix inversions with large data sets. To reduce the computation time, parallel architectures are used with appropriate data partitioning and placement schemes. In this paper, matrices are inverted on a PIM (processor-in-memory) architecture by applying a blockwise analytical matrix inversion scheme in a recursive manner, and whose performance is evaluated and analyzed.
  • Keywords
    mathematics computing; matrix inversion; parallel architectures; blockwise analytical matrix inversion scheme; data partitioning; data placement schemes; data sets; matrix inversion; parallel architectures; processor-in-memory; Application software; Communication system control; Computer applications; Computer architecture; Computer science; Decoding; Multicore processing; Parallel architectures; Performance analysis; Software engineering; Matrix inverse; PIM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1416
  • Filename
    4722374
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=480022