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Efficient sparse matrix factorization on high performance workstations—exploiting the memory hierarchy

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Publication:4371764
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DOI10.1145/114697.116809zbMath0900.65066OpenAlexW2080975681MaRDI QIDQ4371764

Anoop Gupta, Edward Rothberg

Publication date: 18 March 1998

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: http://www.acm.org/pubs/contents/journals/toms/1991-17/

zbMATH Keywords

performanceCholesky factorizationsparse matriceshierarchical memory system


Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Complexity and performance of numerical algorithms (65Y20) Direct numerical methods for linear systems and matrix inversion (65F05)


Related Items

Fast Cholesky factorization for interior point methods of linear programming, A survey of direct methods for sparse linear systems, A globally and superlinearly convergent primal-dual interior point trust region method for large scale constrained optimization, Solving quadratically constrained convex optimization problems with an interior-point method, Advances in design and implementation of optimization software


Uses Software

  • Harwell-Boeing sparse matrix collection


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