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| lis(3) | Introduction to Library Functions | lis(3) |
NAME
lis - library of iterative solvers for linear systemsSYNOPSIS
[see Lis User Guide for full description]DESCRIPTION
Lis (Library of Iterative Solvers for linear systems, pronounced [lis]) is a parallel software library for solving discretized linear equations and eigenvalue problems that arise in the numerical solution of partial differential equations using iterative methods.Lis provides facilities for:
* Automatic program configuration
* NUMA aware hybrid implementation with MPI and OpenMP
* Exchangeable dense and sparse matrix storage formats
* Basic linear algebra operations for dense and sparse matrices
* Parallel iterative methods for linear equations and eigenvalue problems
* Parallel preconditioners for iterative methods
* Quadruple precision floating point operations
* Performance analysis
* Command-line interface to solvers and benchmarks
SYSTEM REQUIREMENTS
The installation of Lis requires a C compiler. The Fortran interface requires a Fortran compiler, and the algebraic multigrid preconditioner requires a Fortran 90 compiler. For parallel computing environments, an OpenMP or an MPI library is required. Both the Harwell-Boeing and Matrix Market formats are supported to import and export user data.REFERENCES
* Akira Nishida (2010). "Experience in Developing an Open Source Scalable Software Infrastructure in Japan". Computational Science and Its Applications - ICCSA 2010. Lecture Notes in Computer Science 6017. Springer. pp. 87-98. doi:10.1007/978-3-642-12165-4_36. ISBN 3-642-12164-0.* Hisashi Kotakemori, Hidehiko Hasegawa, Tamito Kajiyama, Akira Nukada, Reiji Suda, and Akira Nishida (2008). "Performance Evaluation of Parallel Sparse Matrix-Vector Products on SGI Altix 3700". OpenMP Shared Memory Parallel Programming. Lecture Notes in Computer Science 4315. Springer. pp. 153-163. doi:10.1007/978-3-540-68555-5_13. ISBN 3-540-68554-5.
* Hisashi Kotakemori, Hidehiko Hasegawa, and Akira Nishida (2005). "Performance Evaluation of a Parallel Iterative Method Library using OpenMP". Proceedings of the 8th International Conference on High Performance Computing in Asia Pacific Region (HPC Asia 2005). Beijing: IEEE. pp. 432-436. doi:10.1109/HPCASIA.2005.74. ISBN 0-7695-2486-9.
* Akihiro Fujii, Akira Nishida, and Yoshio Oyanagi (2005). "Evaluation of Parallel Aggregate Creation Orders : Smoothed Aggregation Algebraic Multigrid Method". High Performance Computational Science and Engineering. Springer. pp. 99-122. doi:10.1007/0-387-24049-7_6. ISBN 1-4419-3684-X.
SEE ALSO
lsolve(1), esolve(1), hpcg_kernel(1), hpcg_spmvtest(1), spmvtest1(1), spmvtest2(1), spmvtest2b(1), spmvtest3(1), spmvtest3b(1), spmvtest4(1), spmvtest5(1)http://www.ssisc.org/lis/
http://math.nist.gov/MatrixMarket/
| 25 Oct 2016 | Man Page |
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