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In this paper, the authors describe a methodology for developing simple and robust power models using performance monitoring events for AMD Quad-core systems running OpenSolaris. The basic idea is correlating power consumption of a benchmark program with its performance (a measure of performance monitoring events). By using applicable model selection and model assessment techniques, they developed a simple and robust 2-predictor linear power model, which was shown to predict the power consumption of a testing set of benchmarks with better than 95% accuracy on average after being trained on a different set of benchmarks.
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