Overall Objectives
Scientific Foundations
Application Domains
New Results
Other Grants and Activities

Section: Software

MUESLI: Scientific computing

Participant : Édouard Canot [ corresponding author ] .

Doing linear algebra with sparse and dense matrices is somehow difficult in scientific computing. Specific libraries do exist to deal with this area (e.g. BLAS and LAPACK for dense matrices, SPARSKIT for sparse ones) but their use is often awful and tedious, mainly because of the great number of arguments which must be used. Moreover, classical libraries do not provide dynamic allocation. Lastly, the two types of storage (sparse and dense) are so different that the user must know in advance the storage used in order to declare correctly the corresponding numerical arrays.

MUESLI is designed to help in dealing with such structures and it provides the convenience of coding with a matrix-oriented syntax; its aim is therefore to speed-up development process and to enhance portability.

MUESLI is a Fortran 95 library split in two modules:

MUESLI includes some parts of the following numerical libraries: Arpack, GSL, HSL, Slatec, SuiteSparse and Triangle. Moreover, it requires some external libraries: zlib, pnglib, hdf5 (with the f90 interface), BLAS and LAPACK.

Linux is the platform which has been used for developping and testing MUESLI. Whereas the FML part (numerical computations) should work on any platform (e.g. Win32, Mac OS X, Unix), the FGL part is intended to be used only with X11 (i.e. under all UNIXes).

MUESLI has been first used to built an efficient interactive X11 version of 'gridmesh' (see 5.3 . It is now used by members of the team and visitors. A user's guide of version 1.0 is provided in [56] . We plan to register MUESLI for the APP and then to make it available via a specific web page.


Logo Inria