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Sparse matrix multiplication package (SMMP)

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Abstract

Routines callable fromFortran and C are described which implement matrix-matrix multiplication and transposition for a variety of sparse matrix formats. Conversion routines between various formats are provided.

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References

  1. R.E. Bank and R.K. Smith, General sparse elimination requires no permanent integer storage, SIAM J. Sci. Stat. Comp. 8(1987)574–584.

    Google Scholar 

  2. C.C. Douglas and W.L. Miranker, Constructive interference in parallel algorithms, SIAM J. Numer. Anal. 25(1988)376–398.

    Google Scholar 

  3. C.C. Douglas and B.F. Smith, Using symmetries and antisymmetries to analyze a parallel multigrid algorithm: The elliptic boundary value case, SIAM J. Numer. Anal. 26(1989)1439–1461.

    Google Scholar 

  4. S.C. Eisenstat, H.C. Elman, M.H. Schultz and A.H. Sherman, The (new) Yale sparse matrix package, in:Elliptic Problem Solvers II, ed. G. Birkoff and A. Schienstadt (Academic Press, New York, 1984) pp. 45–52.

    Google Scholar 

  5. S.C. Eisenstat, M.C. Gursky, M.H. Schultz and A.H. Sherman, Yale sparse matrix package I: The symmetric codes, Int. J. Numer. Meth. Eng. 18(1982)1145–1151.

    Google Scholar 

  6. S.C. Eisenstat, M.C. Gursky, M.H. Schultz and A.H. Sherman, Yale sparse matrix package II: The nonsymmetric codes, Research Report 114, Department of Computer Science, Yale University, New Haven, CT (1977).

    Google Scholar 

  7. I. Duff, M. Marrone and G. Radicati, A proposal for user level sparse BLAS, in preparation.

  8. M.A. Heroux, Proposal for a sparse BLAS toolkit, in preparation.

  9. Y. Saad, SPARSKIT: a basic tool kit for sparse matrix computations, preliminary version (1990). Available by anonymous ftp from riacs.edu.

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Author information

Authors and Affiliations

  1. Department of Mathematics C012, University of California at San Diego, P.O. Box 109, 92093, LaJolla, CA, USA

    Randolph E. Bank

  2. Mathematical Sciences Department, IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, 10598, Yorktown Heights, NY, USA

    Craig C. Douglas

  3. Department of Computer Science, Yale University, Yale Station, P.O. Box 2158, 06520, New Haven, CT, USA

    Craig C. Douglas

Authors
  1. Randolph E. Bank
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  2. Craig C. Douglas
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Additional information

The algorithms and routines described here were developed while both authors were visiting the Center for Applied Mathematics, Department of Mathematics, Purdue University. This research was supported in part by the Office of Naval Research, Grant No. N00014-895-1440.

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Bank, R.E., Douglas, C.C. Sparse matrix multiplication package (SMMP). Adv Comput Math 1, 127–137 (1993). https://doi.org/10.1007/BF02070824

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  • DOI: https://doi.org/10.1007/BF02070824

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