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Algorithm 692: Model implementation and test package for the Sparse Basic Linear Algebra Subprograms
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 17 ,  Issue 2  (June 1991) table of contents
Pages: 264 - 272  
Year of Publication: 1991
ISSN:0098-3500
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ACM  New York, NY, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 27,   Citation Count: 5
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APPENDICES and SUPPLEMENTS
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model implementation and test package for the sparse blas
Gams: d1a, d1b1


ABSTRACT

This paper desribes a model implementation and test software for the Sparse Basic Linear Algebra Subprograms (Sparse BLAS). The Sparse BLAS perform vector operations common in sparse linear algebra, with the goal of providing efficient, but portable, implementations of algorithms for high performance computers. The model implementation provides a portable set of FORTRAN 77 Sparse BLAS for the use on machines where specially tuned implementations do not exist or are not required. The test software is designed to verify that tuned implementations meet the specifications of the Sparse BLAS and that implementations are correctly installed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
DEMBART, B., AND NEVES, K W. Sparse triangular factorization on vector computers. In Exploring Apphcattons of Parallel Processtng, Electric Power Research Institute, EL-566-QR, Pale Alto, Calif., 1977, 22-25.
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GOLUB, G. H , AND VAN LOAN, C.F. Matrix Computations. The Johns Hopkins University Press, Baltimore, Md., 1983.
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VectorPak Users Manual--CRA Y Supplement Publ. 20460-0501, Boeing Computer Services, Seattle, 1986.
 
8
Woo, P. T., AND LEVESQUE, J. M. Benchmarking a sparse elimination routine on the CYBER 205 and the CRAY-1 In Proceedings of the Sixth SPE Sympostum on Reservotr Simulation, 1982.


Collaborative Colleagues:
David S. Dodson: colleagues
Roger G. Grimes: colleagues
John G. Lewis: colleagues

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