Implementation of MPI in Python and comparison with other parallel programming techniques

High performance computing becomes more important in many areas by provide fast, reliable and cost effective solutions in many applications. Availability of multi-core system in various platforms ranging from desktop computer to supercomputer enable parallelism to be exploiting by users. Paral...

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Main Author:	Zulkifli, Asmaliza
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Parallel processing (Electronic computers) Programming languages (Electronic computers)
Online Access:	http://psasir.upm.edu.my/id/eprint/66644/1/FSKTM%202015%2030%20IR.pdf
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id	my-upm-ir.66644
record_format	uketd_dc
spelling	my-upm-ir.666442019-01-29T06:57:40Z Implementation of MPI in Python and comparison with other parallel programming techniques 2015-06 Zulkifli, Asmaliza High performance computing becomes more important in many areas by provide fast, reliable and cost effective solutions in many applications. Availability of multi-core system in various platforms ranging from desktop computer to supercomputer enable parallelism to be exploiting by users. Parallel programming provides access to users to optimize resources by applying multi-threading or multi-processing techniques in application development. One of the popular approaches in parallel programming is message passing which is widely used in both distributed and shared memory architecture. Python is a powerful open source programming language that popular among scientific computing committee. It provides flexibility and space for skilled users to create their own environment, and appeal beginners with its object-oriented programming. Python also support parallel programming by adapting message passing paradigm into its language. Few of its MPI implementations are pyMPI, Pypar, MPI for Python (mpi4py) and pypvm. MPI for Python is complies with MPI-2 specification and can be used with other Python modules such as NumPy and Cython to exploit multiple processors. This project will provide detail analysis of current implementation of message passing paradigm in Python and compare it with other popular parallel programming technique. Therefore, it aims to produce a good reference to users especially beginners in developing parallel applications. Parallel processing (Electronic computers) Programming languages (Electronic computers) 2015-06 Thesis http://psasir.upm.edu.my/id/eprint/66644/ http://psasir.upm.edu.my/id/eprint/66644/1/FSKTM%202015%2030%20IR.pdf text en public masters Universiti Putra Malaysia Parallel processing (Electronic computers) Programming languages (Electronic computers)
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Parallel processing (Electronic computers) Programming languages (Electronic computers)
spellingShingle	Parallel processing (Electronic computers) Programming languages (Electronic computers) Zulkifli, Asmaliza Implementation of MPI in Python and comparison with other parallel programming techniques
description	High performance computing becomes more important in many areas by provide fast, reliable and cost effective solutions in many applications. Availability of multi-core system in various platforms ranging from desktop computer to supercomputer enable parallelism to be exploiting by users. Parallel programming provides access to users to optimize resources by applying multi-threading or multi-processing techniques in application development. One of the popular approaches in parallel programming is message passing which is widely used in both distributed and shared memory architecture. Python is a powerful open source programming language that popular among scientific computing committee. It provides flexibility and space for skilled users to create their own environment, and appeal beginners with its object-oriented programming. Python also support parallel programming by adapting message passing paradigm into its language. Few of its MPI implementations are pyMPI, Pypar, MPI for Python (mpi4py) and pypvm. MPI for Python is complies with MPI-2 specification and can be used with other Python modules such as NumPy and Cython to exploit multiple processors. This project will provide detail analysis of current implementation of message passing paradigm in Python and compare it with other popular parallel programming technique. Therefore, it aims to produce a good reference to users especially beginners in developing parallel applications.
format	Thesis
qualification_level	Master's degree
author	Zulkifli, Asmaliza
author_facet	Zulkifli, Asmaliza
author_sort	Zulkifli, Asmaliza
title	Implementation of MPI in Python and comparison with other parallel programming techniques
title_short	Implementation of MPI in Python and comparison with other parallel programming techniques
title_full	Implementation of MPI in Python and comparison with other parallel programming techniques
title_fullStr	Implementation of MPI in Python and comparison with other parallel programming techniques
title_full_unstemmed	Implementation of MPI in Python and comparison with other parallel programming techniques
title_sort	implementation of mpi in python and comparison with other parallel programming techniques
granting_institution	Universiti Putra Malaysia
publishDate	2015
url	http://psasir.upm.edu.my/id/eprint/66644/1/FSKTM%202015%2030%20IR.pdf
_version_	1747812395179311104

Implementation of MPI in Python and comparison with other parallel programming techniques

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