An evaluation of sparse direct symmetric solvers: an introduction and preliminary findings

Authors:
Jennifer A. Scott;Yifan Hu;Nicholas I. M. Gould
Affiliations:
Computational Science and Engineering Department, Rutherford Appleton Laboratory, Chilton, Oxfordshire, England, UK;Wolfram Research, Inc, Champaign;Computational Science and Engineering Department, Rutherford Appleton Laboratory, Chilton, Oxfordshire, England, UK
Venue:
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Year:
2004

Citing 2
Cited 0

Sparse matrix test problems

ACM Transactions on Mathematical Software (TOMS)
A numerical evaluation of HSL packages for the direct solution of large sparse, symmetric linear systems of equations

ACM Transactions on Mathematical Software (TOMS)

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Abstract

In recent years a number of solvers for the direct solution of large sparse, symmetric linear systems of equations have been developed. These include solvers that are designed for the solution of positive-definite systems as well as those that are principally intended for solving indefinite problems. The available choice can make it difficult for users to know which solver is the most appropriate for their applications. In this study, we use performance profiles as a tool for evaluating and comparing the performance of serial sparse direct solvers on an extensive set of symmetric test problems taken from a range of practical applications.