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EECS Publication

An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs

Jakub Kurzak, Rajib Nath, Peng Du, and Jack Dongarra

The tile QR factorization provides an efficient and scalable way for factoring a dense matrix in parallel on multi-core processors. This article presents a way of efficiently implementing the algorithm on a system with a powerful GPU and many multi-core CPUs.

Published  2010-09-15 04:00:00  as  ut-cs-10-657 (ID:59)


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