Cycle-accurate macro-models for RT-level power analysis

Qinru Qiu, Qing Wu, Massoud Pedram, Chih Shun Ding

Research output: Chapter in Book/Entry/PoemConference contribution

28 Scopus citations


In this paper we present a methodology and techniques for generating cycle-accurate macro-models for RT-level power analysis. The proposed macro-model predicts not only the cycle-by-cycle power consumption of a module, but the power profile of the module over time. The proposed methodology consists of three steps: module equation form generation and variable selection, variable reduction, and population stratification. First order temporal correlations and spatial correlations of up to order 3 are considered to improve the estimation accuracy. Experimental results show that, the macro-models have 15 or less variables and exhibit <5% error in average power, and <15% errors in cycle-by-cycle power compared to circuit simulation results using Powermill.

Original languageEnglish (US)
Title of host publicationInternational Symposium on Low Power Electronics and Design, Digest of Technical Papers
PublisherIEEE Computer Society
Number of pages6
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 International Symposium on Low Power Electronics and Design - Monterey, CA, USA
Duration: Aug 18 1997Aug 20 1997


OtherProceedings of the 1997 International Symposium on Low Power Electronics and Design
CityMonterey, CA, USA

ASJC Scopus subject areas

  • General Engineering


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