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We introduce a methodology for obtaining inventories of error results for families of numerical dense linear algebra algorithms. The approach for deriving the analyses is goal-orie...
The traditional approach to the parallelization of linear algebra algorithms such as matrix multiplication and LU factorization calls for static allocation of matrix blocks to proc...
Marc Mazzariol, Benoit A. Gennart, Vincent Messerl...
—We present an application programming interface (API) for the C programming language that facilitates the development of dense linear algebra algorithms on graphics processors a...
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either shared-memory or distributed-memory). We use a tas...