lathuili / lis Goto Github PK

README
======


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


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 used. Both the Harwell-Boeing and Matrix
Market formats are supported to import and export user data.


See PDF files in directory doc for full description.


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.


Official Website
----------------

http://www.ssisc.org/lis/