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Reference Material |
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Funded by NSF Grant No. ACR 034255 |
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1. Documents:
Journals, conference papers and Talks Classified
in Preconditioners, Storage schemes, Solve Methods
and Other. Preconditioners M. Benzi. Preconditioning Techniques
for Large Linear Systems: A Survey, Journal of Computational
Physics, 182 (2002), pp. 418-477. |
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M. Benzi and M. Tuma. A Parallel Solver for
Large-Scale Markov Chains, Applied Numerical Mathematics, 41
(2002), pp. 135-153. M. Benzi, J. Marin, and M. Tuma. A Two-Level Parallel
Preconditioner Based on Sparse Approximate Inverses, in Iterative
Methods in Scientific Computation IV, D. R. Kincaid and A. C. Elster, eds., IMACS Series in Computational and Applied
Mathematics, Vol. 5, IMACS, New Brunswick, NJ (1999), pp. 167-178. M. Benzi and M. Tuma. A Comparative Study of
Sparse Approximate Inverse Preconditioners, Applied Numerical Mathematics 30, 2-3 (1999), pp.
305-340. M. Benzi and M. Tuma. A Comparison
of Some Preconditioning Techniques for General Sparse Matrices , in S. Margenov and P. Vassilevski,
editors, Iterative Methods in Linear Algebra, II, IMACS Series in
Computational and Applied Mathematics, Vol. 3, pp. 191-203, IMACS, NJ, 1996. Farid Khoury, Efficient Parallel
Triangular System Solvers for Preconditioning Large Sparse Linear Systems.
Australian center for advanced computing and communications. 1994. Storage
Schemes Stamatis Vassiliadis, Sorin Cotofana, and Pyrrhos Stathis, Block Based Compression
Storage Expected Performance, Delft University of Technology, The
Netherlands, hpcs, 2000 Malik Silva, Richard Wait, Sparse Matrix Storage Revisited, Anand Ekambaram and Eurıpides Montagne, An Alternative Compressed Storage
Format for Sparse Matrices. ISCIS XVIII - Eighteenth International
Symposium on Computer and Information Sciences, LNCS 2869, pp196-203, Nov
2003. O. Temam and W. Jalby, Characterizing the behavior
of sparse algorithms on caches, Conference on High Performance
Networking and Computing, Proceedings of the 1992 ACM/IEEE conference on
Supercomputing, Minneapolis, Minnesota, Pg 578 – 587, 1992 Solve
Methods Roland
W. Freund, A block-QMR algorithm for
Non-Hermitian Linear System with multiple right-hand Sides,
Numerical Analysis Manuscript, Other Shuting Xu, Jun Zhang, A Data Mining Approach to
Matrix Preconditioning Problem, Laboratory for High Performance
Scientific Computing and Computer Simulation, Department of Computer Science,
University of Kentucky, March, 2005. I. S.
Duff, Roger G. Grimes and John G. Lewis, Sparse matrix
test problems, ACM Transactions on Mathematical Software
(TOMS), Volume 15, Issue 1, March 1989, Pg 1 – 14. Freely
available software for linear algebra on the web (may 2004) http://www.netlib.org/utk/people/JackDongarra/la-sw.html PIN,
tool for dynamic instrumentation http://rogue.colorado.edu/Pin/index.html Test Data Harwell-Boeing
Sparse Matrix Collection Nonsymmetric Eigenvalue Problem
(NEP) Matrix Market (database
includes all the collections above) University of
Florida Sparse Matrix Collection Benchmarks SparseBench: a sparse iterative benchmark |
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