INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
capítulos de libros
Título:
MPI and PETSc for Python
Autor/es:
LISANDRO D. DALCÍN; PABLO A. KLER; MARIO A. STORTI; RODRIGO R. PAZ
Libro:
Cluster Computing: Tools, Techniques and Applications
Editorial:
Nova Publisher
Referencias:
Lugar: New York, USA.; Año: 2008; p. 82 - 137
Resumen:
This work reports our attempts to facilitate the access to high-performance parallel computing resources within a Python program-ming environment. The outcome of this e ort are two open source andpublic domain packages, MPI for Python (known in short as mpi4py)and PETSc for Python (known in short as petsc4py).MPI for Python [1, 2, 3], is an open-source software project thatprovides bindings of the Message Passing Interface (MPI) standardfor the Python programming language and targets the development of parallel application codes in Python. Its facilities allow parallel Python programs to easily exploit multiple processors. MPI for Python employs any back-end MPI implementation, thus being immediately available on any parallel environment providing access to any MPI library.PETSc for Python [4] is an open-source software project that pro-vides access to the Portable, Extensible Toolkit for Scienti c Compu-tation (PETSc) libraries within the Python programming language.Its facilities allow sequential and parallel Python applications to ex-ploit state of the art algorithms and data structures readily available in PETSc.