Vectorized Sparse Matrix Multiply for Compressed Row Storage Format-Reference-Cited by-同舟云学术

Vectorized Sparse Matrix Multiply for Compressed Row Storage Format

Published:2005 Issue: Volume: Page:99-106
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

D’Azevedo Eduardo F.,Fahey Mark R.,Mills Richard T.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11428831_13

Reference9 articles.

1. Balay, S., Buschelman, K., Eijkhout, V., Gropp, W.D., Kaushik, D., Knepley, M.G., McInnes, L.C., Smith, B.F., Zhang, H.: PETSc users manual. Technical Report ANL-95/11 - Revision 2.2.0, Argonne National Laboratory (2004), See also http://www.mcs.anl.gov/petsc

2. Nakajima, K., Okuda, H.: Parallel iterative solvers for finite-element methods using a hybrid programming model on SMP cluster architectures. Technical Report GeoFEM 2003-003, RIST, Tokyo (2003), See also http://geofem.tokyo.rist.or.jp/members/nakajima

3. Blelloch, G.E., Heroux, M.A., Zagha, M.: Segmented operations for sparse matrix computation on vector multiprocessors. Technical Report CMU-CS-93-173, Department of Computer Science, Carnegie Mellon University (1993), See also http://www-2.cs.cmu.edu/~guyb/publications.html

4. Dongarra, J.J., Duff, I.S., Sorensen, D.C., van der Vorst, H.A.: Solving Linear Systems on Vector and Shared Memory Computers. SIAM, Philadelphia (1991)

5. Dongarra, J.J., Duff, I.S., Sorensen, D.C., van der Vorst, H.: Numerical Linear Algebra for High-Performance Computers. SIAM, Philadelphia (1998)

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