Improving the memory-system performance of sparse-matrix vector multiplication
IBM Journal of Research and Development
Improving performance of sparse matrix-vector multiplication
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Refining an approximate inverse
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. III: linear algebra
Optimizing the performance of sparse matrix-vector multiplication
Optimizing the performance of sparse matrix-vector multiplication
MAPS: multi-algorithm parallel circuit simulation
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Experience in developing an open source scalable software infrastructure in japan
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
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The present paper discusses scalable implementations of sparse matrix-vector products using OpenMP to execute the iterative method on the SGI Altix3700, the IBM eServer p5 595 and the Sun SunFire15K. Three storage formats (CRS, BSR and DIA) for sparse matrices are evaluated. The present implementation provides satisfactory scalabilities. In some cases, an optimal storage format with data conversion should be used. In addition, the influence of the cache/memory bus architectures on the optimum choice of the storage format is examined.