Attributes of the performance of central processing units: a relative performance prediction model

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Attributes of the performance of central processing units: a relative performance prediction model

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Communications of the ACM archive
Volume 30 , Issue 4 (April 1987) table of contents

Pages: 308 - 317

Year of Publication: 1987

ISSN:0001-0782

Authors

Phillip Ein-Dor	Tel Aviv Univ., Tel Aviv, Israel
Jacob Feldmesser	ELTA Electronics Industries, Ltd., Ashdod, Israel

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 13, Downloads (12 Months): 44, Citation Count: 16

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abstract references cited by index terms review collaborative colleagues

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ABSTRACT

Using readily available data on CPU characteristics—main memory size, cache memory size, number of channels, and machine cycle time—it is possible to predict relative CPU performance for a wide range of machines. Statistical analyses indicate that these characteristics explain virtually all the variance in relative performance.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 16

	Roger Gallion , Chaman L. Sabharwal , Daniel C. St. Clair , W. E. Bond, Dynamic ID3: a symbolic learning algorithm for many-valued attribute domains, Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, p.14-20, February 14-16, 1993, Indianapolis, Indiana, United States
	Y. M. Kang, Computer hardware performance: production and cost function analyses, Communications of the ACM, v.32 n.5, p.586-593, May 1989
	Brian D. Lynch , H. Raghav Rao , Winston T. Lin, Economic analysis of microcomputer hardware, Communications of the ACM, v.33 n.10, p.119-129, Oct. 1990
	CORPORATE Tech Correspondence, Technical correspondence, Communications of the ACM, v.32 n.2, p.258-264, Feb. 1989
	CORPORATE Tech Correspondence, Technical correspondence, Communications of the ACM, v.32 n.2, p.258-264, Feb. 1989
	Matthew F. Parkinson , Sri Parameswaran, Profiling in the ASP codesign environment, Proceedings of the 8th international symposium on System synthesis, p.128-133, September 13-15, 1995, Cannes, France
	H. Raghav Rao , Brian D. Lynch, Hedonic price analysis of workstation attributes, Communications of the ACM, v.36 n.12, p.95-102, Dec. 1993
	Rudy Setiono , Wee Kheng Leow , James Y. L. Thong, Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks, Proceedings of the twenty first international conference on Information systems, p.176-186, December 2000, Brisbane, Queensland, Australia
	CORPORATE Tech Correspondence, Technical correspondence, Communications of the ACM, v.32 n.9, p.1121-1133, Sept. 1989
	Chaman L. Sabharwal , Keith R. Hacke , Daniel C. St. Clair, Formation of clusters and resolution of ordinal attributes in ID3 classification trees, Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's, p.590-597, April 1992, Kansas City, Missouri, United States
	Janaki Akella , Daniel P. Siewiorek, Modeling and measurement of the impact of Input/Output on system performance, ACM SIGARCH Computer Architecture News, v.19 n.3, p.390-399, May 1991
	Ran Giladi, Evaluating the Mflops Measure, IEEE Micro, v.16 n.4, p.69-75, August 1996
	Chiung-San Lee , Tai-Ming Parng, A Subsystem-Oriented Performance Analysis Methodology for Shared-Bus Multiprocessors, IEEE Transactions on Parallel and Distributed Systems, v.7 n.7, p.755-767, July 1996
	Tao Jiang , Art B. Owen, Quasi-regression with shrinkage, Mathematics and Computers in Simulation, v.62 n.3-6, p.231-241, 3 March 2003
	Sébastien Destercke , Serge Guillaume , Brigitte Charnomordic, Building an interpretable fuzzy rule base from data using Orthogonal Least Squares---Application to a depollution problem, Fuzzy Sets and Systems, v.158 n.18, p.2078-2094, September, 2007
	Luciano Sánchez , Inés Couso , Jorge Casillas, Genetic learning of fuzzy rules based on low quality data, Fuzzy Sets and Systems, v.160 n.17, p.2524-2552, September, 2009

INDEX TERMS

Primary Classification:
C. Computer Systems Organization
C.4 PERFORMANCE OF SYSTEMS
Subjects: Performance attributes

Additional Classification:
B. Hardware
B.3 MEMORY STRUCTURES
B.3.2 Design Styles
Subjects: Cache memories
B.4 INPUT/OUTPUT AND DATA COMMUNICATIONS
B.4.2 Input/Output Devices
Subjects: Channels and controllers

C. Computer Systems Organization
C.1 PROCESSOR ARCHITECTURES
C.4 PERFORMANCE OF SYSTEMS
Subjects: Performance attributes

K. Computing Milieux
K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
K.6.0 General
Subjects: Economics
K.6.2 Installation Management
Subjects: Computer selection

General Terms:
Economics, Management, Measurement, Performance

REVIEW

"Efrem G. Mallach : Reviewer"

This paper examines CPU performance data for 209 systems, as published by Computerworld from 1981 to 1984, and correlates performance with system configuration parameters. The authors found a relationship between processor performance more...

Collaborative Colleagues:

Phillip Ein-Dor: colleagues

Jacob Feldmesser: colleagues

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