Year: 1994
Type: conference-paper
Abstract: W e describe a computationally ecient s c heme to approximate average switching activity in sequential circuits which requires the solution of a non-linear system of equations of size N, where the variables correspond to state line probabilities.W e show that the approximation method is within 3% of the exact Chapman-Kolmogorov method, but is orders of magnitude faster for large circuits.Previous sequential switching activity estimation methods can have signi cantly greater inaccuracies.
Authors: José Monteiro, Srinivas Devadas, Bill Lin
Institutions: Massachusetts Institute of Technology, IMEC
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2149936738