ArchitectureComputer EngineeringElectrical EngineeringDesign OptimizationLow-power DesignOptimizationEvolutionary OptimizationGenetic AlgorithmsIntegrated Circuit DesignMulti-objective Design OptimizationMulti-objective OptimizationOptimization-based DesignBody BiasingCircuit OptimizationEvolutionary AlgorithmsMulti-objective Evolutionary ComputationMulti-objective Evolutionary OptimizationMultiobjective Evolutionary AlgorithmsProcess Variation EffectsSilicon
Mitigating the effects process variations on power-frequency distributions can be done by using a system of locally-generated body biases. This system allows for highly localized circuit optimizations with very little overhead in silicon area and routing resources. We present a multiple objective algorithm to find near-optimal configurations of these biases which can be applied during post-fabrication testing. The system can improve an initial yield of 12% to 77%.
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A dynamic voltage scaled microprocessor system
Tom Burd, Trevor Pering, A. Stratakos et al. · IEEE Journal of Solid-State Circuits · 2000 · 911 citations