Evaluating Statistical Power Optimization

Evaluating the Effectiveness of Statistical Gate Sizing for Power Optimization

We evaluate the effectiveness of statistical gate sizing to minimize circuit power. We develop reliable posynomial models for delay and power that are accurate to within 5-10% of 130nm library data. We formulate statistical sizing as a geometric program, accounting for randomness in gate delays. For various ISCAS-85 circuits, statistical sizing at a 99.8% target yield provides 25% power reducti...

Statistical power

A framework for evaluating statistical dependencies and rank correlations in power law graphs

We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. To the best of our knowledge, this is the first attempt to apply the well developed theory of regular variation to graph data. The new insights this yields are striking: the three above-mentioned data sets are shown to...

Maintenance Analysis and Optimization via Statistical Model Checking - Evaluating a Train Pneumatic Compressor

Maintenance is crucial to ensuring and improving system dependability: By performing timely inspections, repairs, and renewals the lifespan and reliability of systems can be significantly improved. Good maintenance planning, however, has to balance these improvements against the downsides of maintenance, such as costs and planned downtime. In this paper, we study the effect of different mainten...

Statistical power calculations1

This article focuses on how to do meaningful power calculations and sample-size determination for common study designs. There are 3 important guiding principles. First, certain types of retrospective power calculations should be avoided, because they add no new information to an analysis. Second, effect size