Details
Poster
Presenter(s)
Display Name
Majdi Richa
- Affiliation
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AffiliationINSA Rennes
- Country
-
CountryFrance
Abstract
In this work, we present an FPGA circuit (a.k.a. IP) power consumption estimation model, based on machine learning, in which training data sets are collected from real measurements. At high-level, we characterize specific IPs, record the power consumption estimation absolute percentage error and compare measured v/s estimated power consumption.