• DocumentCode
    1831978
  • Title

    Can parallel algorithms enhance serial implementation?

  • Author

    Vishkin, Uzi

  • Author_Institution
    Maryland Univ., MD, USA
  • fYear
    1994
  • fDate
    26-29 Apr 1994
  • Firstpage
    376
  • Lastpage
    385
  • Abstract
    The broad thesis presented suggests that the serial emulation of a parallel algorithm has the potential advantage of running an a serial machine faster than a standard serial algorithm for the same problem. It is too early to reach definite conclusions regarding the significance of this thesis. However, using some imagination, validity of the thesis and some arguments supporting it may lead to several far-reaching outcomes: (1) Reliance on “predictability of reference” in the design of computer systems will increase. (2) Parallel algorithms will be taught as part of the standard computer science and engineering undergraduate curricula irrespective of whether (or when) parallel processing will become ubiquitous in the general-purpose computing world. (3) A strategic agenda for high-performance parallel computing: a multistage agenda, which in no stage compromises user-friendliness of the programmer´s model, and thereby potentially alleviates the so-called “parallel software crisis”. Stimulating a debate is one goal of our presentation
  • Keywords
    computer science education; parallel algorithms; parallel programming; program interpreters; virtual machines; computer science; high-performance parallel computing; parallel algorithms; predictability of reference; serial implementation; undergraduate curriculum; Algorithm design and analysis; Computer languages; Computer science; Concurrent computing; Emulation; Memory management; Parallel algorithms; Parallel processing; Pervasive computing; Software standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1994. Proceedings., Eighth International
  • Conference_Location
    Cancun
  • Print_ISBN
    0-8186-5602-6
  • Type

    conf

  • DOI
    10.1109/IPPS.1994.288274
  • Filename
    288274