• DocumentCode
    2627632
  • Title

    Analysis of control parallelism in SIMD Instruction streams

  • Author

    Allen, James D. ; Garg, Vivek ; Schimmel, David E.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1993
  • fDate
    1-4 Dec 1993
  • Firstpage
    383
  • Lastpage
    390
  • Abstract
    This paper presents experimental evidence that the ability to exploit a small degree of control parallelism can provide a significant improvement in performance for SIMD machines. This evidence has been obtained through analysis of SIMD instruction traces gathered from a MasPar MP-1 system. Potential speedups of up to 2.5 times conventional SIMD were found. This paper also discusses details of such an architecture, called superscalar SIMD, and of the trace analysis process. We also consider some synchronization and communication issues that may arise
  • Keywords
    parallel processing; performance evaluation; program control structures; system monitoring; MasPar MP-1 system; SIMD instruction traces; SIMD machines; communication issues; control parallelism; superscalar SIMD; synchronization; Algorithm design and analysis; Bridges; Communication networks; Concurrent computing; Delay; Image processing; Parallel processing; Partitioning algorithms; Process design; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1993. Proceedings of the Fifth IEEE Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-4222-X
  • Type

    conf

  • DOI
    10.1109/SPDP.1993.395507
  • Filename
    395507