Distributed orthogonal factorization

Abstract

We describe several algorithms for computing the orthogonal factorization on distributed memory multiprocessors. One of the algorithms is based on Givens rotations, two others employ column Householder transformations but with different communication schemes: broadcast and pipelined ring. A fourth algorithm is a hybrid; it uses Househlolder transformations and Givens rotations in separate phases. We present expressions for the arithmetic and communication complexity of each algorithm. The algorithms were implemented on an iPSC-286 and the observed times agree well with our analyses.