Neural algorithms on VLSI concurrent architectures

The study of neural algorithms for developing CAD tools with A.I. features in VLSI design activities is discussed. The focus is on optimization problems such as partitioning, placement and routing. These problems require massive computational power to be solved (NP-complete problems) and the standard approach is usually based on heuristic techniques. Neural algorithms from a neural circuit is discussed.