Parallel Cholesky factorization on orthogonal multiprocessors

Abstract We present the parallel Cholesky factorization algorithm on orthogonal multiprocessors — an architecture with a simplified busing structure and partially shared memory. We study two data allocation strategies for the algorithm and show their influence on the time complexity. Studying the asymptotic efficiency we show when each of them should be used.