Towards dense linear algebra for hybrid GPU accelerated manycore systems

Author:

Tomov Stanimire,Dongarra Jack,Baboulin Marc

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, D. Sorensen, LAPACK user’s guide, SIAM, third ed., 1999.

2. M. Baboulin, J. Dongarra, S. Tomov, Some issues in dense linear algebra for multicore and special purpose architectures, Technical Report UT-CS-08-615, University of Tennessee, 2008, LAPACK Working Note 200.

3. G. Ballard, J. Demmel, O. Holtz, O. Schwartz, Minimizing communication in linear algebra, Technical Report, LAPACK Working Note 218, May 2009.

4. S. Barrachina, M. Castillo, F. Igual, R. Mayo, E. Quintana-Ortí, Solving dense linear systems on graphics processors, Technical Report ICC 02-02-2008, Universidad Jaime I, February, 2008.

5. A. Buttari, J. Dongarra, J. Kurzak, J. Langou, P. Luszczek, S. Tomov, The impact of multicore on math software, PARA 2006, in: B. Kågström et al. (Ed.), Lecture Notes in Computer Science, vol. 4699, Springer, 2007, pp. 1–10.

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