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
fDate :
12/1/1989 12:00:00 AM
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;
Journal_Title :
Computers, IEEE Transactions on