Multiplication of a symmetric banded matrix by a vector on a vector multiprocessor computer
Richard Reuter, U. Scharffenberger, Josef Schüle · IBM Journal of Research and Development · 1991
This paper describes how to vectorize and parallelize the multiplication of a symmetric banded matrix by a vector, on a vector multiprocessor. The ideas presented involve two packed-band-storage schemes, and implementations for both schemes are studied. The best among the uniprocessor solutions proposed achieves a maximum of 37.1 Mflops on an IBM Enterprise System/3090™ 400E with Vector Facility (VF). For one of the schemes, a parallel implementation on an IBM 3090™ VF multiprocessor is presented, and time measurements are discussed.