Abstract
The authors present microarchitecture-level statistical models for characterizing process and system parameter variability, concentrating on gate length and on-chip temperature variations. To assess the effect of microarchitecture decisions on these variations, and vice versa, they propose a joint performance, power, and variability metric that distinguishes among various design choices.
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