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JouleTrack: a web based tool for software energy profiling
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 38th annual Design Automation Conference table of contents
Las Vegas, Nevada, United States
Pages: 220 - 225  
Year of Publication: 2001
ISBN:1-58113-297-2
Authors
Amit Sinha  Massachusetts Institute of Technology, Cambridge, MA
Anantha P. Chandrakasan  Massachusetts Institute of Technology, Cambridge, MA
Sponsors
EDAC : Electronic Design Automation Consortium
IEEE-CAS : Circuits & Systems
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 56,   Citation Count: 57
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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

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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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
 
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Hitachi SuperH Processors, http://www.superh.com/
 
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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

CITED BY  57

Collaborative Colleagues:
Amit Sinha: colleagues
Anantha P. Chandrakasan: colleagues