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JouleTrack: a web based tool for software energy profiling

Published: 22 June 2001 Publication History

Abstract

A software energy estimation methodology is presented that avoids explicit characterization of instruction energy consumption and pre-dicts energy consumption to within 3% accuracy for a set of bench-mark programs evaluated on the StrongARM SA-1100 and Hitachi SH-4 microprocessors. The tool, JouleTrack, is available as an online resource and has various estimation levels. It also isolates the switch-ing and leakage components of the energy consumption.

References

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J. T. Russell, M. F. Jacome, "Software Power Estimation and Optimization for High Performance, 32-bit Embedded Processors", Proc. of the International Conference on Computer Design, 1998, pp. 328-333
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H. Mehta, R. M. Owens, M. J. Irwin, "Instruction Level Power Profiling", ICASSP'96, pp. 3326-3329
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Intel StrongARM Processors, http://developer.intel.com/design/ strong/sa1100.htm
[5]
Hitachi SuperH Processors, http://www.superh.com/
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J. M. Rabaey, Digital Integrated Circuits : A Design Perspective, Prentice Hall, New Jersey, 1996
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J. Sheu, et. al., "BSIM: Berkeley short-channel IGFET model for MOS transistors", IEEE Journal of Solid-State Circuits, SC-22, 1987
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R. X. Gu and M. I. Elmasry, "Power dissipation analysis and optimization of deep submicron CMOS digital circuits", IEEE Journal of Solid State Circuits, vol. 31, no. 5, May 1996, 707-713

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Published In

cover image ACM Conferences
DAC '01: Proceedings of the 38th annual Design Automation Conference
June 2001
863 pages
ISBN:1581132972
DOI:10.1145/378239
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2001

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Author Tags

  1. instruction energy
  2. leakage estimation
  3. software energy

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  • (2024)A holistic approach to environmentally sustainable computingInnovations in Systems and Software Engineering10.1007/s11334-023-00548-920:3(347-371)Online publication date: 6-Feb-2024
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  • (2020)PowTrAn: An R Package for power trace analysisSoftwareX10.1016/j.softx.2020.10051212(100512)Online publication date: Jul-2020
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