MPI for Python

Lisandro Dalcín; Rodrigo Paz; Mario Storti

doi:10.1016/j.jpdc.2005.03.010

MPI for Python

Lisandro Dalcín^*, Rodrigo Paz, Mario Storti

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

280 Scopus citations

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. 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/python).

Original language	English (US)
Pages (from-to)	1108-1115
Number of pages	8
Journal	Journal of Parallel and Distributed Computing
Volume	65
Issue number	9
DOIs	https://doi.org/10.1016/j.jpdc.2005.03.010
State	Published - Sep 2005
Externally published	Yes

Bibliographical note

Funding Information:
This work received financial support from Consejo Na-cional de Investigaciones Científicas y Técnicas (CONICET, Argentina), Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) and Universidad Nacional del Litoral (UNL) through grants CONICET-PIP-198 Germen-CFD, ANPCyT-PID-99/74 FLAGS, ANPCyT-FONCyT-PICT-6973 PROA and CAI+D-UNL-PIP-02552-2000.

Keywords

High level languages
MPI
Message passing
Parallel Python

ASJC Scopus subject areas

Software
Theoretical Computer Science
Hardware and Architecture
Computer Networks and Communications
Artificial Intelligence

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10.1016/j.jpdc.2005.03.010

Cite this

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title = "MPI for Python",

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. 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/python).",

keywords = "High level languages, MPI, Message passing, Parallel Python",

author = "Lisandro Dalc{\'i}n and Rodrigo Paz and Mario Storti",

note = "Funding Information: This work received financial support from Consejo Na-cional de Investigaciones Cient{\'i}ficas y T{\'e}cnicas (CONICET, Argentina), Agencia Nacional de Promoci{\'o}n Cient{\'i}fica y Tecnol{\'o}gica (ANPCyT) and Universidad Nacional del Litoral (UNL) through grants CONICET-PIP-198 Germen-CFD, ANPCyT-PID-99/74 FLAGS, ANPCyT-FONCyT-PICT-6973 PROA and CAI+D-UNL-PIP-02552-2000.",

year = "2005",

month = sep,

doi = "10.1016/j.jpdc.2005.03.010",

language = "English (US)",

volume = "65",

pages = "1108--1115",

journal = "Journal of Parallel and Distributed Computing",

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number = "9",

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TY - JOUR

T1 - MPI for Python

AU - Dalcín, Lisandro

AU - Paz, Rodrigo

AU - Storti, Mario

N1 - Funding Information: This work received financial support from Consejo Na-cional de Investigaciones Científicas y Técnicas (CONICET, Argentina), Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) and Universidad Nacional del Litoral (UNL) through grants CONICET-PIP-198 Germen-CFD, ANPCyT-PID-99/74 FLAGS, ANPCyT-FONCyT-PICT-6973 PROA and CAI+D-UNL-PIP-02552-2000.

PY - 2005/9

Y1 - 2005/9

N2 - 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/python).

AB - 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/python).

KW - High level languages

KW - MPI

KW - Message passing

KW - Parallel Python

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U2 - 10.1016/j.jpdc.2005.03.010

DO - 10.1016/j.jpdc.2005.03.010

M3 - Article

AN - SCOPUS:23744461133

SN - 0743-7315

VL - 65

SP - 1108

EP - 1115

JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

IS - 9

ER -

MPI for Python

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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