lis(3)

NAME
lis - library of iterative solvers for linear systems

SYNOPSIS
[see Lis User Manual for full description]

DESCRIPTION
Lis, a Library of Iterative Solvers for linear systems, is a parallel library for solving 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 standard eigenvalue problems

* Parallel preconditioners for iterative methods

* Hardware accelerated internal quadruple (double-double) precision floating point operations

* Performance analysis

* Command-line interface to solvers

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-1 library is used. 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), spmvtest1(1), spmvtest2(1), spmvtest3(1), spmvtest4(1), spmvtest5(1)

http://www.ssisc.org/lis/
http://math.nist.gov/MatrixMarket/