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machine characterization based on an abstract high-level language machineMeasurements 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.
Document ID
19900036563
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Saavedra-Barrera, Rafael H.
(California Univ. Berkeley, CA, United States)
Smith, Alan Jay
(California, University Berkeley, United States)
Miya, Eugene
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 14, 2013
Publication Date
December 1, 1989
Publication Information
Publication: IEEE Transactions on Computers
Volume: 38
ISSN: 0018-9340
Subject Category
COMPUTER SYSTEMS
Funding Number(s)
CONTRACT_GRANT: NCC2-550
CONTRACT_GRANT: NSF MIP-87-13274
CONTRACT_GRANT: NCC2-128
Distribution Limits
Public
Copyright
Other