DocumentCode
1760242
Title
Coping with Parametric Variation at Near-Threshold Voltages
Author
Karpuzcu, U.R. ; Nam Sung Kim ; Torrellas, Josep
Volume
33
Issue
4
fYear
2013
fDate
July-Aug. 2013
Firstpage
6
Lastpage
14
Abstract
Near-threshold voltage computing (NTC) promises significant improvement in energy efficiency. Unfortunately, when compared to conventional, super-threshold voltage computing (STC), NTC is more sensitive to parametric variation. This results in not only slower and leakier cores, but also substantial speed and power differences between the cores in a many-core chip. NTC´s potential cannot be unlocked without addressing the higher impact of variation. To confront variation at the architecture level, the authors introduce a parametric variation model for NTC. They then use the model to show the shortcomings of adapting state-of-the-art STC techniques for variation mitigation to NTC. Finally, they discuss how to tailor variation mitigation to NTC.
Keywords
cores; microprocessor chips; NTC; many-core chip; near-threshold voltage computing; parametric variation; state-of-the-art STC techniques; super-threshold voltage computing; variation mitigation; Computational modeling; Delays; Energy efficiency; Power distribution; Random access memory; System-on-chip; Threshold voltage; energy and power efficiency; multicores; near-threshold voltage; parameter variation; resilience;
fLanguage
English
Journal_Title
Micro, IEEE
Publisher
ieee
ISSN
0272-1732
Type
jour
DOI
10.1109/MM.2013.71
Filename
6527886
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