A deep submicron power estimation methodology adaptable to variations between power characterization and estimation

Authors:
Daniel Eckerbert;Per Larsson-Edefors
Affiliations:
Chalmers University of Technology, Göteborg, Sweden;Chalmers University of Technology, Göteborg, Sweden
Venue:
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
Year:
2003

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Abstract

Traditionally, RTL power estimation techniques are characterizing a component for a fixed environment (most importantly load capacitance, activity, and operating frequency). This article presents a solution to problems originating from the ineluctably changing operating conditions such as differing load capacitance due to different applications; different activity and operating frequency as power reduction techniques are more frequently employed.