We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
This paper investigates the effect of the controller on the testability of sequential circuits composed of controllers and data paths. It is shown that even when both the controll...
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or random simulation models. This contribution discusses the different ...
Abstract. Parallel programming is rapidly gaining importance as a vector to develop high performance applications that exploit the improved capabilities of modern computer architec...