• DocumentCode
    1085978
  • Title

    Machine characterization based on an abstract high-level language machine

  • Author

    Saavedra-Barrera, Rafael H. ; Smith, Alan Jay ; Miya, Eugene

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    38
  • Issue
    12
  • fYear
    1989
  • fDate
    12/1/1989 12:00:00 AM
  • Firstpage
    1659
  • Lastpage
    1679
  • Abstract
    Measurements are presented for a large number of machines ranging from small workstations to supercomputers. The authors combine these measurements into groups of parameters which relate to specific aspects of the machine implementation, and use these groups to provide overall machine characterizations. The authors also define the concept of pershapes, which represent the level of performance of a machine for different types of computation. A metric based on pershapes is introduced that provides a quantitative way of measuring how similar two machines are in terms of their performance distributions. The metric is related to the extent to which pairs of machines have varying relative performance levels depending on which benchmark is used
  • Keywords
    performance evaluation; benchmark; high-level language machine; machine characterizations; performance; performance distributions; pershapes; Computer science; High level languages; Laboratories; Mexico Council; NASA; Shape; Space technology; Statistical distributions; Supercomputers; Workstations;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/12.40845
  • Filename
    40845