Software energy profiling

Authors:
Amit Sinha;Anantha Chandrakasan
Affiliations:
Massachusetts Institute of Technology Cambridge, MA;Massachusetts Institute of Technology Cambridge, MA
Venue:
Power aware computing
Year:
2002

Citing 4
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Abstract

A software energy estimation methodology is presented that avoids explicit instruction level analysis and predicts energy consumption to an accuracy within 3% for a set of benchmark programs evaluated on the StrongARM SA-1100 and Hitachi SH-4 microprocessors. A technique has also been proposed to separate the switching and leakage energy components of software. A web-based tool, JouleTrack, has been developed that incorporates the proposed techniques.