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Issue title: A New Overview of the Trilinos Project – Part 2
Article type: Research Article
Authors: Spotz, William F.
Affiliations: Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM 87185, USA. E-mail: wfspotz@sandia.gov
Abstract: PyTrilinos is a set of Python interfaces to compiled Trilinos packages. This collection supports serial and parallel dense linear algebra, serial and parallel sparse linear algebra, direct and iterative linear solution techniques, algebraic and multilevel preconditioners, nonlinear solvers and continuation algorithms, eigensolvers and partitioning algorithms. Also included are a variety of related utility functions and classes, including distributed I/O, coloring algorithms and matrix generation. PyTrilinos vector objects are compatible with the popular NumPy Python package. As a Python front end to compiled libraries, PyTrilinos takes advantage of the flexibility and ease of use of Python, and the efficiency of the underlying C++, C and Fortran numerical kernels. This paper covers recent, previously unpublished advances in the PyTrilinos package.
Keywords: Trilinos, Python, sparse linear algebra, parallel programming, nonlinear solvers, eigensolvers, partitioning, preconditioners
DOI: 10.3233/SPR-2012-0346
Journal: Scientific Programming, vol. 20, no. 3, pp. 311-325, 2012
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