Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Oliker, L., Canning, A., Carter, J., Shalf, J., Ethier, S.: Scientific computations on modern parallel vector systems. In: Proceedings of the ACM/IEEE Supercomputing Conference (SC 2004), Pittsburgh, USA (2004)
Oliker, L., Canning, A., Carter, J., Shalf, J., Skinner, D., Ethier, S., Biswas, R., Djomehri, J., van der Wijngaart, R.: Evaluation of cache-based superscalar and cacheless vector architectures for scientific computations. In: Proceedings of the ACM/IEEE Supercomputing Conference (SC 2003), Phoenix, Arizona, USA (2003)
Rabenseifner, R., Tiyyagura, S.R., Müller, M.: Network bandwidth measurements and ratio analysis with the hpc challenge benchmark suite (hpcc). In Martino, B.D., Mueller, D.K., Dongarra, J., eds.: Proceedings of the 12th European PVM/MPI Users’ Group Meeting (EURO PVM/MPI 2005). LNCS 3666, Sorrento, Italy, Springer (2005) 368–378
http://www.es.jamstec.go.jp/esc/eng/.
http://www.teraflop-workbench.de/.
Tuminaro, R.S., Heroux, M., Hutchinson, S.A., Shadid, J.N.: Aztec user’s guide: Version 2.1. Technical Report SAND99-8801J, Sandia National Laboratories (1999)
Heroux, M.A., Willenbring, J.M.: Trilinos users guide. Technical Report SAND2003-2952, Sandia National Laboratories (2003)
Saad, Y.: Iterative Methods for Sparse Linear Systems, Second Edition. SIAM, Philadelphia, PA (2003)
Saad, Y.: SPARSKIT: A basic toolkit for sparse matrix computations. Technical Report RIACS-90-20, NASA Ames Research Center, Moffet Field, CA (1994)
Tiyyagura, S.R., Küster, U., Borowski, S.: Performance improvement of sparse matrix vector product on vector machines. In Alexandrov, V., van Albada, D., Sloot, P., Dongarra, J., eds.: Proceedings of the Sixth International Conference on Computational Science (ICCS 2006). LNCS 3991, Reading, UK, Springer (2006)
Im, E.J., Yelick, K.A., Vuduc, R.: Sparsity: An optimization framework for sparse matrix kernels. International Journal of High Performance Computing Applications 18(1) (2004) 135–158
Agarwal, P., et al.: ORNL Cray X1 evaluation status report. Technical Report LBNL-55302, Lawrence Berkeley National Laboratory (May 1, 2004)
Nakajima, K.: Parallel iterative solvers of geofem with selective blocking pre-conditioning for nonlinear contact problems on the earth simulator. GeoFEM 2003-005, RIST/Tokyo (2003)
Jones, M.T., Plassmann, P.E.: Blocksolve95 users manual: Scalable library soft-ware for the parallel solution of sparse linear systems. Technical Report ANL-95/48, Argonne National Laboratory (1995)
Tuminaro, R.S., Shadid, J.N., Hutchinson, S.A.: Parallel sparse matrix vector multiply software for matrices with data locality. Concurrency: Practice and Experience 10(3) (1998) 229–247
Demmel, J., Heath, M., van der Vorst, H.: Parallel numerical linear algebra. Acta Numerica 2 (1993) 53–62
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tiyyagura, S.R., Küster, U. (2007). Linear Iterative Solver for NEC Parallel Vector Systems. In: Resch, M., Bönisch, T., Tiyyagura, S., Furui, T., Seo, Y., Bez, W. (eds) High Performance Computing on Vector Systems 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68743-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-68743-6_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47692-4
Online ISBN: 978-3-540-68743-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)