Solving Large-Scale Eigenvalue Problems on Vector Parallel Processors

Research Report MRR98-027

Solving Large-Scale Eigenvalue Problems on Vector Parallel Processors

David L. Harrar II and Michael R. Osborne

Abstract: We consider the development and implementation of eigensolvers on distributed memory parallel arrays of vector processors and show that the concomitant requirements for vectorization and parallelization lead both to novel algorithms and novel implementation techniques. Performance results are given for several large-scale applications and some performance comparisons made with LAPACK and ScaLAPACK.

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Download paper:	PDF file (271K)
	gzipped DVI file (62K)

Download cover sheet:	PDF file (45K)
	DVI file (1K)