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Journal of Parallel and Distributed Computing
Article . 2008 . Peer-reviewed
License: Elsevier TDM
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Article . 2008
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MPI for Python: Performance improvements and MPI-2 extensions

Authors: Lisandro Dalcín; Rodrigo R. Paz; Mario A. Storti; Jorge D'Elía;

MPI for Python: Performance improvements and MPI-2 extensions

Abstract

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. In its first release, MPI for Python was constructed on top of the MPI-1 specification defining an object-oriented interface that closely followed the MPI-2 C++ bindings, and provided support for communications of general Python objects. In the latest release, this package is improved to enable direct blocking/non-blocking communication of numeric arrays, and to support almost all MPI-2 features. Improvements in communication performance have been tested in a Beowulf class cluster. Results showed a negligible overhead in comparison to compiled C code. MPI for Python is open source and available for download on the web (http://mpi4py.scipy.org/).

Country
Argentina
Keywords

High-Level Languages, Mpi, Message Passing, Parallel Python

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
261
Top 1%
Top 1%
Top 10%
Green