New Generalized Data Structures for Matrices Lead to a Variety of High Performance Dense Linear Algebra Algorithms

Fred G. Gustavson. New Generalized Data Structures for Matrices Lead to a Variety of High Performance Dense Linear Algebra Algorithms. In Jack Dongarra, Kaj Madsen, Jerzy Wasniewski, editors, Applied Parallel Computing, State of the Art in Scientific Computing, 7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004, Revised Selected Papers. Volume 3732 of Lecture Notes in Computer Science, pages 11-20, Springer, 2004. [doi]

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