Matlab on grid

K. Shechtman; M. Bercovier; Yaniv Azriel

Matlab on grid

K. Shechtman, M. Bercovier, Yaniv Azriel

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents the design of GBPM¹, a MATLAB toolbox for parallelization based on the GRID. It provides a programming abstraction higher than message passing. The toolbox is designed with special attention to the aspects of parallel computing such as transparency and fault tolerance. We introduce native, robust and easy-to-use parallelization functions designed for those MATLAB users, who are seeking to achieve better performance without need for any parallel programming skills.

Original language	English
State	Published - 2004
Event	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004 - Jyvaskyla, Finland Duration: 24 Jul 2004 → 28 Jul 2004

Conference

Conference	European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004
Country/Territory	Finland
City	Jyvaskyla
Period	24/07/04 → 28/07/04

Keywords

GRID
MATLAB
Parallel

Cite this

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title = "Matlab on grid",

abstract = "This paper presents the design of GBPM1, a MATLAB toolbox for parallelization based on the GRID. It provides a programming abstraction higher than message passing. The toolbox is designed with special attention to the aspects of parallel computing such as transparency and fault tolerance. We introduce native, robust and easy-to-use parallelization functions designed for those MATLAB users, who are seeking to achieve better performance without need for any parallel programming skills.",

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author = "K. Shechtman and M. Bercovier and Yaniv Azriel",

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AU - Shechtman, K.

AU - Bercovier, M.

AU - Azriel, Yaniv

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AB - This paper presents the design of GBPM1, a MATLAB toolbox for parallelization based on the GRID. It provides a programming abstraction higher than message passing. The toolbox is designed with special attention to the aspects of parallel computing such as transparency and fault tolerance. We introduce native, robust and easy-to-use parallelization functions designed for those MATLAB users, who are seeking to achieve better performance without need for any parallel programming skills.

KW - GRID

KW - MATLAB

KW - Parallel

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T2 - European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2004

Y2 - 24 July 2004 through 28 July 2004

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Matlab on grid

Abstract

Conference

Keywords

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