On relating small computer performance to design parameters
Pages 146 - 151
Abstract
This paper presents a method for correlating performance measures of small computers to design parameters. An experiment is described in which execution times and memory space requirements are gathered for three small benchmark kernels when run on fifteen small computers. The benchmarks are drawn from three different application areas. All of them exercise only the CPU ↔ memory area of the machines, and I/0 operations are not involved.Using standard regression analysis techniques, this data is then used to calculate coefficients in empirical equations which relate the performance measures, time and space, to easily quantifiable design parameters of the machines.
References
[1]
Freiberger, W. (editor), Statistical Computer Performance Evaluation, Academic Press, New York and London, 1972.
[2]
Timmreck, E.M., "Computer Selection Methodology", ACM Computing Surveys, Vol. 5, No. 4, Dec. 1973.
[3]
Ferrari, D., "Workload Characterization and Selection in Computer Performance Measurement", Computer, July/August 1972.
[4]
Lucas, H.C. Jr., "Performance Evaluation and Monitoring", Computing Surveys, Vol. 3, No. 3, September 1971.
[5]
Olivier, R.T., "A Technique for Selecting Small Computers", Datamation, Vol. 16, January 1970.
[6]
Butler, J.L., "Comparative Criteria for Microcomputers", Instrumentation Technology, Vol. 17, October 1970.
[7]
Hillegass, J.R., "Standardized Benchmark Problems Measure Computer Performance", Computers and Automation, January 1966.
[8]
Joslin, E.O. and Aiken, J.J., "The Validity of Basing Computer Selections on Benchmark Results", Computers and Automation, January 1966.
[9]
Rannem, S., "A Study of Factors Contributing to Performance in Small Computer Central Processors", M.A.Sc. Thesis, Dept. of Electrical Engineering, University of Toronto, Toronto, Canada, 1973.
- On relating small computer performance to design parameters
Recommendations
On relating small computer performance to design parameters
This paper presents a method for correlating performance measures of small computers to design parameters. An experiment is described in which execution times and memory space requirements are gathered for three small benchmark kernels when run on ...
Piecewise Holistic Autotuning of Compiler and Runtime Parameters
Proceedings of the 22nd International Conference on Euro-Par 2016: Parallel Processing - Volume 9833Current architecture complexity requires fine tuning of compiler and runtime parameters to achieve full potential performance. Autotuning substantially improves default parameters in many scenarios but it is a costly process requiring a long iterative ...
Comments
Information & Contributors
Information
Published In
January 1975
237 pages
Copyright © 1974 Copyright is held by the owner/author(s).
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- ACM: Association for Computing Machinery
- IEEE: Institute of Electrical and Electronics Engineers
- SIGARCH: ACM Special Interest Group on Computer Architecture
- Computer Science Department, University of Houston
- IEEE-CS\DATC: IEEE Computer Society
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 December 1974
Check for updates
Qualifiers
- Article
Acceptance Rates
Overall Acceptance Rate 543 of 3,203 submissions, 17%
Upcoming Conference
ISCA '25
- Sponsor:
- sigarch
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 246Total Downloads
- Downloads (Last 12 months)24
- Downloads (Last 6 weeks)2
Reflects downloads up to 23 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in