-
1
-
-
20744458817
-
A technique for accelerating the convergence of restarted GMRES
-
University of Colorado, Dept. of Computer Science, January
-
A. H. Baker, E. R. Jessup, and T. Manteuffel. A technique for accelerating the convergence of restarted GMRES. Technical Report CU-CS-045-03, University of Colorado, Dept. of Computer Science, January 2003.
-
(2003)
Technical Report
, vol.CU-CS-045-03
-
-
Baker, A.H.1
Jessup, E.R.2
Manteuffel, T.3
-
2
-
-
33646416630
-
Performance optimization and modeling of blocked sparse kernels
-
Innovative Computing Laboratory, University of Tennessee, Knoxville
-
A. Buttari, V. Eijkhout, J. Langou, and S. Filippone. Performance optimization and modeling of blocked sparse kernels. Technical Report ICL-UT-04-05, Innovative Computing Laboratory, University of Tennessee, Knoxville, 2005.
-
(2005)
Technical Report
, vol.ICL-UT-04-05
-
-
Buttari, A.1
Eijkhout, V.2
Langou, J.3
Filippone, S.4
-
3
-
-
25144499116
-
Vectorized sparse matrix multiply for compressed sparse row storage
-
LNCS 3514, Atlanta, GA, USA, May. Springer
-
E. D'Azevedo, M. R. Fahey, and R. T. Mills. Vectorized sparse matrix multiply for compressed sparse row storage. In Proceedings of the International Conference on Computational Science, LNCS 3514, pages 99-106, Atlanta, GA, USA, May 2005. Springer.
-
(2005)
Proceedings of the International Conference on Computational Science
, pp. 99-106
-
-
D'Azevedo, E.1
Fahey, M.R.2
Mills, R.T.3
-
4
-
-
20744454097
-
Towards a fast parallel sparse matrix-vector multiplication
-
E. H. D'Hollander, J. R. Joubert, F. J. Peters, and H. Sips, editors. Imperial College Press
-
R. Geus and S. Röllin. Towards a fast parallel sparse matrix-vector multiplication. In E. H. D'Hollander, J. R. Joubert, F. J. Peters, and H. Sips, editors, Proceedings of the International Conference on Parallel Computing (ParCo), pages 308-315. Imperial College Press, 1999.
-
(1999)
Proceedings of the International Conference on Parallel Computing (ParCo)
, pp. 308-315
-
-
Geus, R.1
Röllin, S.2
-
6
-
-
1542501019
-
Sparsity. Optimization framework for sparse matrix kernels
-
E.-J. Im, K. Yelick, and R. Vuduc. Sparsity. Optimization framework for sparse matrix kernels. International Journal of High Performance Computing Applications, 18(1):135-158, 2004.
-
(2004)
International Journal of High Performance Computing Applications
, vol.18
, Issue.1
, pp. 135-158
-
-
Im, E.-J.1
Yelick, K.2
Vuduc, R.3
-
7
-
-
10044248780
-
Performance models for evaluation and automatic tuning of symmetric sparse matrix-vector multiply
-
Montreal, Canada, August
-
B. C. Lee, R. Vuduc, J. Demmel, and K. Yelick. Performance models for evaluation and automatic tuning of symmetric sparse matrix-vector multiply. In Proceedings of the International Conference on Parallel Processing, Montreal, Canada, August 2004.
-
(2004)
Proceedings of the International Conference on Parallel Processing
-
-
Lee, B.C.1
Vuduc, R.2
Demmel, J.3
Yelick, K.4
-
9
-
-
79551504371
-
When cache blocking sparse matrix vector multiply works and why
-
Scientific Computing', Copenhagen, Denmark, June
-
R. Nishtala, R. Vuduc, J. Demmel, and K. Yelick. When cache blocking sparse matrix vector multiply works and why. In Proceeding's of the PARA'04 Workshop on the State-of-the-art in Scientific Computing', Copenhagen, Denmark, June 2004.
-
(2004)
Proceeding's of the PARA'04 Workshop on the State-of-the-art in
-
-
Nishtala, R.1
Vuduc, R.2
Demmel, J.3
Yelick, K.4
-
10
-
-
3042576437
-
Improving performance of sparse matrix-vector multiplication
-
A. Pinar and M. Heath. Improving performance of sparse matrix-vector multiplication. In Proceedings of Supercomputing, 1999.
-
(1999)
Proceedings of Supercomputing
-
-
Pinar, A.1
Heath, M.2
-
11
-
-
0041391794
-
NIST sparse BLAS: User's guide
-
NIST, gams.nist.gov/spblas
-
K. Remington and R. Pozo. NIST Sparse BLAS: User's Guide. Technical report, NIST, 1996. gams.nist.gov/spblas.
-
(1996)
Technical Report
-
-
Remington, K.1
Pozo, R.2
-
15
-
-
33646422879
-
Finding nonoverlapping dense blocks of a sparse matrix
-
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
-
V. Vassilevska and A. Pinar. Finding nonoverlapping dense blocks of a sparse matrix. Technical Report LBNL-54498, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, 2004.
-
(2004)
Technical Report
, vol.LBNL-54498
-
-
Vassilevska, V.1
Pinar, A.2
-
16
-
-
10044233808
-
-
PhD thesis, University of California, Berkeley, Berkeley, CA, USA, December
-
R. Vuduc. Automatic performance tuning of sparse matrix kernels. PhD thesis, University of California, Berkeley, Berkeley, CA, USA, December 2003.
-
(2003)
Automatic Performance Tuning of Sparse Matrix Kernels
-
-
Vuduc, R.1
-
18
-
-
14244251666
-
Performance optimizations and bounds for sparse matrix-vector multiply
-
Baltimore, MD, USA, November
-
R. Vuduc, J. W. Demmel, K. A. Yelick, S. Kamil, R. Nishtala, and B. Lee. Performance optimizations and bounds for sparse matrix-vector multiply. In Proceedings of Supercomputing, Baltimore, MD, USA, November 2002.
-
(2002)
Proceedings of Supercomputing
-
-
Vuduc, R.1
Demmel, J.W.2
Yelick, K.A.3
Kamil, S.4
Nishtala, R.5
Lee, B.6
-
19
-
-
24344464030
-
Fast sparse matrix-vector multiplication by exploiting variable blocks structure
-
Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, USA, July
-
R. Vuduc and H.-J. Moon. Fast sparse matrix-vector multiplication by exploiting variable blocks structure. Technical Report UCRL-TR-213454, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, USA, July 2005.
-
(2005)
Technical Report
, vol.UCRL-TR-213454
-
-
Vuduc, R.1
Moon, H.-J.2
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