INVESTIGADORES
STORTI Mario Alberto
artículos
Título:
MPI for Python
Autor/es:
LISANDRO DALCÍN; RODRIGO PAZ; MARIO STORTI
Revista:
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
Editorial:
Elsevier
Referencias:
Año: 2005 vol. 65(9 p. 1108 - 1115
ISSN:
0743-7315
Resumen:
MPI for Python provides bindings of the Message Passing Interface (MPI)
standard for the Python programming language and allows any Python
program to exploit multiple processors. This package is constructed on
top of the MPI-1 specification and defines an object-oriented interface
which closely follows MPI-2 C++ bindings. It supports point-to-point
(sends, receives) and collective (broadcasts, scatters, gathers)
communications of general Python objects. Efficiency has been tested in
a Beowulf class cluster and satisfying results were obtained. MPI for
Python is open source and available for download on the web (http://www.cimec.org.ar/pythonhttp://www.cimec.org.ar/python).
