Strategies for vectorizing the sparse matrix vector product on the CRAY XMP, CRAY 2, and CYBER 205
Large, randomly sparse matrix vector products are important in a number of applications in computational chemistry, such as matrix diagonalization and the solution of simultaneous equations. Vectorization of this process is considered for the CRAY XMP, CRAY 2, and CYBER 205, using a matrix of dimens...
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Veröffentlicht in: | J. Comput. Chem.; (United States) 1987-07, Vol.8 (5), p.636-644 |
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Format: | Artikel |
Sprache: | eng |
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