Matrix inversion algorithm for linear array processor

This paper presents a parallel algorithm for computing the inversion of a dense matrix based on Gauss-Jordan elimination. The algorithm is proposed for the implementation on the linear array at a processor level which operates in a pipeline fashion. Two types of architecture are considered-one which uses serial data transfer (AP/S) and another which uses parallel data transfer (AP/P) between neighboring processors. The speed up of AP/S and AP/P are O(n/2) and O(4/5n), respectively.