MPI for Python

Lisandro Dalcín*, Rodrigo Paz, Mario Storti

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

250 Scopus citations


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 (

Original languageEnglish (US)
Pages (from-to)1108-1115
Number of pages8
JournalJournal of Parallel and Distributed Computing
Issue number9
StatePublished - Sep 2005
Externally publishedYes

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.


  • 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


Dive into the research topics of 'MPI for Python'. Together they form a unique fingerprint.

Cite this