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- W4251489360 abstract "In this paper, we present new statistical sampling techniques for performing power estimation at the circuit level. These techniques first transform the power estimation problem to a survey sampling problem, then apply stratified random sampling to improve the efficiency of sampling. The stratification is based on a low-cost predictor, such as zero delay power estimates. We also propose a two-stage stratified sampling technique to handle very long initial sequences. Experimental results show that the efficiency of stratified random sampling and two-stage stratified sampling techniques are 3-10 X higher than that of simple random sampling and the Markov-based Monte Carlo simulation techniques." @default.
- W4251489360 created "2022-05-12" @default.
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- W4251489360 date "2002-12-24" @default.
- W4251489360 modified "2023-10-16" @default.
- W4251489360 title "Stratified random sampling for power estimation" @default.
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- W4251489360 doi "https://doi.org/10.1109/iccad.1996.569913" @default.
- W4251489360 hasPublicationYear "2002" @default.
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