FOLDING TECHNIQUES FOR SYSTOLIC ITERATIONS
Konstantinos G. Margaritis, David J. Evans · International Journal of Parallel Emergent and Distributed Systems · 1995
This paper discusses the application of folding techniques on systolic matrix vector iterations performed on re-usable linear systolic arrays. The matrix vector iterations are presented in the context of well known linear algebra iterative methods for the solution of systems of equations. The same iterations form the basis of relaxation procedures of Hopfield type artificial neural networks.