Abstract
Many storage formats have been proposed to represent spa- rse matrices. This paper extends to Fortran 95 the performance evaluation of sparse storage formats in Java presented at ICCS 2005, [7]. These experiments have the same set up (almost 200 sparse matrices and matrix-vector multiplication), but now consider the Fortran 95 Sparse BLAS reference implementation.
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The matrix market, http://math.nist.gov/MatrixMarket/
Duff, I.S., Erisman, A.M., Reid, J.K.: Direct Methods for Sparse Matrices. Oxford University Press, Oxford (1986)
Duff, I.S., Heroux, M.A., Pozo, R.: An overview of the sparse basic linear algebra subprograms: The new standard from the BLAS technical forum. ACM Transactions on Mathematical Software 28(2), 239–267 (2002)
Duff, I.S., Vömel, C.: Algorithm 818: A reference model implementation of the Sparse BLAS in Fortran 95. ACM Transactions on Mathematical Software 28(2), 268–283 (2002)
Eun-Jin, K., Yelick, A., Vuduc, R.: SPARSITY: An optimization framework for sparse matrix kernels. International Journal of High Performance Computing Applications 18(1), 135–158 (2004)
Gundersen, G., Steihaug, T.: Data structures in Java for matrix computations. Concurrency and Computation: Practice and Experience 16(8), 799–815 (2004)
Luján, M., Usman, A., Hardie, P., Freeman, T.L., Gurd, J.R.: Storage formats for sparse matrices in Java. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3514, pp. 364–371. Springer, Heidelberg (2005)
Pooch, U.W., Nieder, A.: A survey of indexing techniques for sparse matrices. ACM Computing Surveys 5(2), 109–133 (1973)
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© 2006 Springer-Verlag Berlin Heidelberg
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Usman, A., Luján, M., Freeman, L., Gurd, J.R. (2006). Performance Evaluation of Storage Formats for Sparse Matrices in Fortran. In: Gerndt, M., Kranzlmüller, D. (eds) High Performance Computing and Communications. HPCC 2006. Lecture Notes in Computer Science, vol 4208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11847366_17
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DOI: https://doi.org/10.1007/11847366_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39368-9
Online ISBN: 978-3-540-39372-6
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