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» Causal probabilistic input dependency learning for switching...
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GLVLSI
2005
IEEE
103views VLSI» more  GLVLSI 2005»
14 years 1 months ago
Causal probabilistic input dependency learning for switching model in VLSI circuits
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
Nirmal Ramalingam, Sanjukta Bhanja
ISLPED
2004
ACM
153views Hardware» more  ISLPED 2004»
14 years 28 days ago
Any-time probabilistic switching model using bayesian networks
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 ...
Shiva Shankar Ramani, Sanjukta Bhanja
ICCD
2002
IEEE
160views Hardware» more  ICCD 2002»
14 years 4 months ago
Modeling Switching Activity Using Cascaded Bayesian Networks for Correlated Input Streams
We represent switching activity in VLSI circuits using a graphical probabilistic model based on Cascaded Bayesian Networks (CBN’s). We develop an elegant method for maintaining ...
Sanjukta Bhanja, N. Ranganathan
TCAD
1998
115views more  TCAD 1998»
13 years 7 months ago
Probabilistic modeling of dependencies during switching activity analysis
—This paper addresses, from a probabilistic point of view, the issue of switching activity estimation in combinational circuits under the zero-delay model. As the main theoretica...
Radu Marculescu, Diana Marculescu, Massoud Pedram
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
14 years 7 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...