mpi4py: Status Update After 12 Years of Development

Lisandro Dalcin; Yao-Lung Leo Fang

doi:10.1109/mcse.2021.3083216

mpi4py: Status Update After 12 Years of Development

Lisandro Dalcin, Yao-Lung Leo Fang

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

134 Scopus citations

Abstract

MPI for Python (mpi4py) has evolved to become the most used Python binding for the Message Passing Interface (MPI). We report on various improvements and features that mpi4py gradually accumulated over the past decade, including support up to the MPI-3.1 specification, support for CUDA-aware MPI implementations, and other utilities at the intersection of MPI-based parallel distributed computing and Python application development.

Original language	English (US)
Pages (from-to)	1-1
Number of pages	1
Journal	Computing in Science & Engineering
DOIs	https://doi.org/10.1109/mcse.2021.3083216
State	Published - 2021

ASJC Scopus subject areas

General Engineering
General Computer Science

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10.1109/mcse.2021.3083216

https://repository.kaust.edu.sa/bitstream/10754/669239/1/09439927.pdf

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title = "mpi4py: Status Update After 12 Years of Development",

abstract = "MPI for Python (mpi4py) has evolved to become the most used Python binding for the Message Passing Interface (MPI). We report on various improvements and features that mpi4py gradually accumulated over the past decade, including support up to the MPI-3.1 specification, support for CUDA-aware MPI implementations, and other utilities at the intersection of MPI-based parallel distributed computing and Python application development.",

author = "Lisandro Dalcin and Fang, {Yao-Lung Leo}",

note = "KAUST Repository Item: Exported on 2021-05-26",

year = "2021",

doi = "10.1109/mcse.2021.3083216",

language = "English (US)",

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journal = "Computing in Science & Engineering",

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Y1 - 2021

N2 - MPI for Python (mpi4py) has evolved to become the most used Python binding for the Message Passing Interface (MPI). We report on various improvements and features that mpi4py gradually accumulated over the past decade, including support up to the MPI-3.1 specification, support for CUDA-aware MPI implementations, and other utilities at the intersection of MPI-based parallel distributed computing and Python application development.

AB - MPI for Python (mpi4py) has evolved to become the most used Python binding for the Message Passing Interface (MPI). We report on various improvements and features that mpi4py gradually accumulated over the past decade, including support up to the MPI-3.1 specification, support for CUDA-aware MPI implementations, and other utilities at the intersection of MPI-based parallel distributed computing and Python application development.

UR - http://hdl.handle.net/10754/669239

UR - https://ieeexplore.ieee.org/document/9439927/

U2 - 10.1109/mcse.2021.3083216

DO - 10.1109/mcse.2021.3083216

M3 - Article

SN - 1521-9615

SP - 1

EP - 1

JO - Computing in Science & Engineering

JF - Computing in Science & Engineering

ER -

mpi4py: Status Update After 12 Years of Development

Abstract

ASJC Scopus subject areas

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