NDLI: Profiling driven computation reuse: an embedded software synthesis technique for energy and performance optimization

Content Provider	IEEE Xplore Digital Library
Author	Weidong Wang Raghunathan, A. Jha, N.K.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Princeton Univ., NJ, USA (Weidong Wang)
Abstract	It has been observed that even highly optimized software programs perform "redundant" computations during their execution, due to the nature (statistics) of the values assumed by input or internal program variables. For embedded software running on battery-powered systems, such computations can be viewed as unnecessary energy overheads, and hence represent opportunities for improvement in energy efficiency. We present a systematic methodology to identify and eliminate redundancies in the computations performed by embedded software programs, by exploiting opportunities that dynamically arise for computation reuse. We report the results of experiments on two different embedded systems-a detailed simulation model of Fujitsu SPARClite based embedded system, and actual current measurements on al Compaq iPAQ PDA. Our results demonstrate that the proposed technique can reduce energy by up to 46.9% (average of 21.2% and 13.9% for the SPARClite based system and the iPAQ, respectively) while simultaneously improving performance by up to 45.8% (average of 20.7% and 16.8% for the SPARClite based system and the iPAQ, respectively), compared to well-optimized programs that do not employ such a technique.
Sponsorship	VLSI Soc. of India Minist. of Inf. and Commun. Technol., Gov. of India IEEE Electron Devices Soc. IEEE Circuits and Syst. Soc. Tata Consultancy Services Texas Instruments Inc. Nat. Semiconductor Intel Synopsys Cypress Semiconductor Corp. Infineon Technol. Cadence Conexant
Starting Page	267
Ending Page	272
File Size	372577
Page Count	6
File Format	PDF
ISBN	0769520723
DOI	10.1109/ICVD.2004.1260935
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Embedded computing Embedded software Optimization Software performance High performance computing Statistics Energy efficiency Computational modeling Embedded system Current measurement
Content Type	Text
Resource Type	Article

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