Bottom-Up High -Level Power Modeling and Estimation

High-level power estimation requires power macromodel for different blocks which are easy to use and automatically constructed. The main contribution of this research is the development of macromodels for average power, energy for every input vector pair (energy per cycle) and peak-current for every input vector pair (peak current per cycle), for different logic styles. Another contribution of this research is automatic developments of these macromodels based on recursive least squares (RLS) algorithm. Due to simplicity and automatic generation of the macromodels, the macromodels can be combined with any RT tool, which in turn enables the designer to explore area, delay, and power space early in the design.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Gupta, Subodh

Contributors dc:contributor

• Farid N. Najm

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI9971086

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81335