MPI for Python']Python

被引：265

作者：

Dalcín, L ^{[1
]}

Paz, R ^{[1
]}

Storti, M ^{[1
]}

机构：

[1] UNL, CIMEC, INTEC, CONICET, RA-3000 Santa Fe, Argentina

来源：

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | 2005年 / 65卷 / 09期

关键词：

Message Passing; MPI; high level languages; parallel [!text type='Python']Python[!/text;

D O I：

10.1016/j.jpdc.2005.03.010

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

MPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python progamming 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). (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：1108 / 1115

页数：8

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