Anytime Probabilistic Switching Model using Bayesian Networks

S. Ramani and S. Bhanja, “Anytime Probabilistic Switching Model using Bayesian Networks,” International Symposium on Low Power Electronic Design, pp 86-89, 2004.

@INPROCEEDINGS{1349315,
title={Any-time probabilistic switching model using Bayesian networks},
author={ Ramani, S.S. and Bhanja, S.},
booktitle={Low Power Electronics and Design, 2004. ISLPED '04. Proceedings of the 2004 International Symposium on},
year={2004},
month={Aug.},
volume={},
number={},
pages={ 86-89},
abstract={ Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian network based switching model can explicitly model all spatio-temporal dependency relationships in a combinational circuit, resulting in zero-error estimates. However, the space-time requirements of exact estimation schemes, based on this model, increase with circuit complexity. This paper explores a non-simulative, importance sampling based, probabilistic estimation strategy that scales well with circuit complexity. It has the any-time aspect of simulation and the input pattern independence of probabilistic models.},
keywords={ belief networks, circuit complexity, combinational circuits, combinational switching, importance sampling, probabilistic logic, probability ISCAS circuits, anytime probabilistic switching model, circuit complexity, combinational circuits, gate level switching activity, importance sampling, input pattern independence, joint probability distribution function, logic level switching activity, low-power design, probabilistic Bayesian network, spatiotemporal dependency relationships, stochastic inference},
doi={10.1109/LPE.2004.1349315},
ISSN={ }, }