POWER ESTIMATION FOR REGISTER TRANSFER LEVEL BY GENETIC ALGORITHM

Yaseer A. Durrani, Teresa Riesgo, Felipe Machado

2006

Abstract

In this paper, we propose a new genetic algorithm (GA) based macromodeling technique for register transfer level. This technique allows to estimate the power dissipation of intellectual property (IP) components using some statistical knowledge of their primary inputs. During the macromodel construction procedure, the sequence of an input stream is generated by a GA using input metrics. Then, a Monte Carlo zero delay simulation is performed and the power dissipation is predicted by a macromodel function. In our experiments with IP macro-blocks, the results are effective and highly correlated, with an average error of 1%. Our model is parameterizable and provides accurate power estimation.

Paper Citation

in Harvard Style

A. Durrani Y., Riesgo T. and Machado F. (2006). POWER ESTIMATION FOR REGISTER TRANSFER LEVEL BY GENETIC ALGORITHM . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 527-530. DOI: 10.5220/0001214205270530

in Bibtex Style

@conference{icinco06,
author={Yaseer A. Durrani and Teresa Riesgo and Felipe Machado},
title={POWER ESTIMATION FOR REGISTER TRANSFER LEVEL BY GENETIC ALGORITHM},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={527-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001214205270530},
isbn={978-972-8865-60-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - POWER ESTIMATION FOR REGISTER TRANSFER LEVEL BY GENETIC ALGORITHM
SN - 978-972-8865-60-3
AU - A. Durrani Y.
AU - Riesgo T.
AU - Machado F.
PY - 2006
SP - 527
EP - 530
DO - 10.5220/0001214205270530