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ASPDAC
2009
ACM

On the futility of statistical power optimization

10 years 6 months ago
On the futility of statistical power optimization
In response to the increasing variations in integrated-circuit manufacturing, the current trend is to create designs that take these variations into account statistically. In this paper we try to quantify the difference between the statistical and deterministic optima of leakage power while making no assumptions about the delay model. We develop a framework for deriving a theoretical upper-bound on the suboptimality that is incurred by using the deterministic optimum as an approximation for the statistical optimum. On average, the bound is 2.4% for a suite of benchmark circuits in a 45nm technology. We further give an intuitive explanation and show, by using solution rank orders, that the practical suboptimality gap is much lower. Therefore, the need for statistical power modeling for the purpose of optimization is questionable.
Jason Cong, Puneet Gupta, John Lee
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where ASPDAC
Authors Jason Cong, Puneet Gupta, John Lee
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