Abstract
PYTRILINOS is a collection of Python modules targeting serial and parallel sparse linear algebra, direct and iterative linear solution techniques, domain decomposition and multilevel preconditioners, nonlinear solvers and continuation 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 integrated with the popular NumPy module, gathering together a variety of high-level distributed computing operations with serial vector operations. PYTRILINOS uses a hybrid development approach, with a front-end in Python, and a back-end, computational engine in compiled libraries. As such, PYTRILINOS makes it easy to take advantage of both the flexibility and ease of use of Python, and the efficiency of the underlying C++, C and FORTRAN numerical kernels. The presented numerical results show that, for many important problem classes, the overhead required by the Python interpreter is negligible.
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