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The simulation and evaluation of dynamic voltage scaling algorithms
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 1998 international symposium on Low power electronics and design table of contents
Monterey, California, United States
Pages: 76 - 81  
Year of Publication: 1998
ISBN:1-58113-059-7
Authors
Trevor Pering  University of California Berkeley Electronics Research Laboratory, 211-109 Cory #1770, Berkeley, CA
Tom Burd  University of California Berkeley Electronics Research Laboratory, 211-109 Cory #1770, Berkeley, CA
Robert Brodersen  University of California Berkeley Electronics Research Laboratory, 211-109 Cory #1770, Berkeley, CA
Sponsors
IEEE-SSCS : Solid Stat Circuits Council
SIGDA: ACM Special Interest Group on Design Automation
IEEE-EDS : Electronic Devices Society
IEEE-CAS : Circuits & Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 35,   Downloads (12 Months): 121,   Citation Count: 132
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ABSTRACT

The reduction of energy consumption in microprocessors can be accomplished without impacting the peak performance through the use of dynamic voltage scaling (DVS). This approach varies the processor voltage under software control to meet dynamically varying performance requirements. This paper presents a foundation for the simulation and analysis of DVS algorithms. These algorithms are applied to a benchmark suite specifically targeted for PDA devices.


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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ARM 8 Data-Sheet, Document Number ARM DDI0080C, Advanced RISC Machines Ltd, July 1996.
 
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A. Chandrakasan, S. Sheng, R. W. Brodersen, "Lowpower CMOS digital design," IEEE Journal of Solid- State Circuits, Vol. 27, pp. 473-484, Ap. 1992
 
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C.J. Linbald and D. L. Tennenhouse, "The VuSystem: A Programming System for Compute-intensive Multimedia," IEEE Journal of Sleeted Areas in Communication, 1996.
 
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M. Weiser, B. Welch, A. Demers, and S. Shenker, "Scheduling for reduced CPU energy," Proc. 1st Syrup. on Operating Systems Design and Implementation, pp. 13-23, Nov. 1994.

CITED BY  133

Collaborative Colleagues:
Trevor Pering: colleagues
Tom Burd: colleagues
Robert Brodersen: colleagues