Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

Author:

Tomov Stanimire,Nath Rajib,Dongarra Jack

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference35 articles.

1. LAPACK User’s Guide;Anderson,1999

2. M. Baboulin, J. Dongarra, S. Tomov, Some issues in dense linear algebra for multicore and special purpose architectures, in: Proceedings of the International Workshop on State-of-the-Art in Scientific and Parallel Computing (PARA), Trondheim, Norway, 2008.

3. G. Ballard, J. Demmel, O. Holtz, O. Schwartz, Minimizing Communication in Linear Algebra, Tech. Report, LAPACK Working Note 218, May 2009.

4. S. Barrachina, M. Castillo, F.D. Igual, R. Mayo, E.S. Quintana-Ortí, Solving Dense Linear Systems on Graphics Processors, Technical Report ICC 02-02-2008, Universidad Jaime I, February, 2008.

5. C. Bischof C. Van Loan, The WY representation for products of householder matrices, SIAM J. Sci. Stat. Comput. 8(1) (1987) S2–S13, Parallel processing for scientific computing (Norfolk, VA, 1985). MR 88f:65070.

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