Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Weidong Wang Articles by Anand Raghunathan Articles by Niraj K. Jha

17th International Conference on VLSI Design

Mumbai, India

January 05-January 09

ISBN: 0-7695-2072-3

	ASCII Text	x
	Weidong Wang, Anand Raghunathan, Niraj K. Jha, "Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization," VLSI Design, International Conference on, pp. 267, 17th International Conference on VLSI Design, 2004.

	BibTex	x
	@article{ 10.1109/ICVD.2004.1260935, author = {Weidong Wang and Anand Raghunathan and Niraj K. Jha}, title = {Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization}, journal ={VLSI Design, International Conference on}, volume = {0}, year = {2004}, issn = {1063-9667}, pages = {267}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICVD.2004.1260935}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - VLSI Design, International Conference on TI - Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization SN - 1063-9667 SP EP A1 - Weidong Wang, A1 - Anand Raghunathan, A1 - Niraj K. Jha, PY - 2004 KW - null VL - 0 JA - VLSI Design, International Conference on ER -

Weidong Wang, Princeton University, Princeton, NJ

Anand Raghunathan, NEC USA, Princeton, NJ

Niraj K. Jha, Princeton University, NJ

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVD.2004.1260935

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 a Fujitsu SPARClite based embedded system, and actual current measurements on a 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.

Citation:

Weidong Wang, Anand Raghunathan, Niraj K. Jha, "Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization," vlsid, pp.267, 17th International Conference on VLSI Design, 2004

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.