: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
Buffer insertion has become a critical step in deep submicron design, and several buffer insertion/sizing algorithms have been proposed in the literature. However, most of these m...
Charles J. Alpert, Anirudh Devgan, Stephen T. Quay
The theory of latency insensitive design is presented as the foundation of a new correct by construction methodology to design very large digital systems by assembling blocks of In...
Luca P. Carloni, Kenneth L. McMillan, Alberto L. S...
This paper presents an algorithm for generation of test patterns for strong robust path delay faults, i.e. tests that propagate the fault along a single path and additionally are ...
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...