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Improving Energy-Efficiency by Bypassing Trivial Computations
Denver, Colorado April 04-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.25319th IEEE International Parallel and ...
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Ehsan Atoofian, Amirali Baniasadi, "Improving Energy-Efficiency by Bypassing Trivial Computations," Parallel and Distributed Processing Symposium, International, vol. 12, pp. 232b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11, 2005.
 
 
BibTex
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@article{ 10.1109/IPDPS.2005.253,
author = {Ehsan Atoofian and Amirali Baniasadi},
title = {Improving Energy-Efficiency by Bypassing Trivial Computations},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {12},
year = {2005},
issn = {1530-2075},
pages = {232b},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.253},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Improving Energy-Efficiency by Bypassing Trivial Computations
SN - 1530-2075
SP
EP
A1 - Ehsan Atoofian,
A1 - Amirali Baniasadi,
PY - 2005
KW - null
VL - 12
JA - Parallel and Distributed Processing Symposium, International
ER -
 
Ehsan Atoofian, University of Victoria
Amirali Baniasadi, University of Victoria
We study the energy efficiency benefits of bypassing trivial computations in high-performance processors. Trivial computations are those computations whose output can be determined without performing the computation. We show that bypassing trivial instructions reduces energy consumption while improving performance. Our study shows that by bypassing trivial instructions and for the subset of SPEC'2K benchmarks studied here, on average, it is possible to improve energy and energy-delay by up to 4.5% and 11.8% over a conventional processor.
Citation:
Ehsan Atoofian, Amirali Baniasadi, "Improving Energy-Efficiency by Bypassing Trivial Computations," ipdps, vol. 12, pp.232b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11, 2005
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