Strategies for vectorizing the sparse ma
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Charles W. Bauschlicher Jr.; Harry Partridge
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Article
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1987
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John Wiley and Sons
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English
⚖ 823 KB
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 dimensi