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
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