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2007
ACM

A multi-model power estimation engine for accuracy optimization

10 years 5 days ago
A multi-model power estimation engine for accuracy optimization
RTL power macromodeling is a mature research topic with a variety of equation and table-based approaches. Despite its maturity, macromodeling is not yet widely accepted as an industrial de facto standard for power estimation at the RT level. Each approach has many variants depending upon the parameters chosen to capture power variation. Every macromodeling technique has some intrinsic limitation affecting either its performance or its accuracy. Therefore, alternative macromodeling methods can be envisaged as part of a power modeling toolkit from which the most suitable method for a given component should be automatically selected. This paper describes a new multi-model power estimation engine that selects the macromodeling technique leading to the least estimation error for a given system component depending on the properties of its input-vector stream. A proper selection function is built after component characterization and used during estimation. Experimental results show that our...
Felipe Klein, Guido Araujo, Rodolfo Azevedo, Rober
Added 26 Oct 2010
Updated 26 Oct 2010
Type Conference
Year 2007
Where ISLPED
Authors Felipe Klein, Guido Araujo, Rodolfo Azevedo, Roberto Leao, Luiz C. V. dos Santos
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