GASPARD: a visual parallel programming environment

In this paper, we present GASPARD (Graphical Array Specification for Parallel and Distributed computing), our visual programming environment devoted to the development of parallel applications. Task and data parallelism paradigms of parallel computing are mixed in GASPARD to achieve a simple program...

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Vydáno v:International Conference on Parallel Computing in Electrical Engineering, PARELEC 2002 : proceedings : 22-25 September 2002, Warsaw, Poland s. 145 - 150
Hlavní autoři: Devin, F., Boulet, P., Dekeyser, J.-L., Marquet, P.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 2002
Témata:
Application software
Computer languages
Distributed computing
Joining processes
Numerical simulation
Parallel processing
Parallel programming
Printed circuits
Programming environments
Programming profession
ISBN:0769517307, 9780769517308
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Abstract In this paper, we present GASPARD (Graphical Array Specification for Parallel and Distributed computing), our visual programming environment devoted to the development of parallel applications. Task and data parallelism paradigms of parallel computing are mixed in GASPARD to achieve a simple programming interface. We use the printed circuit metaphor. The programmer specifies tasks and instantiates by plugging them into a slot (task parallelism). Data parallelism is achieved by specifying the data the task uses. By mixing textual and visual programming, we achieve a convenient interface useful for scientific programming. The interface is also well suited for meta-computing deployment. This kind of programming is very useful for numerical simulation.
AbstractList In this paper, we present GASPARD (Graphical Array Specification for Parallel and Distributed computing), our visual programming environment devoted to the development of parallel applications. Task and data parallelism paradigms of parallel computing are mixed in GASPARD to achieve a simple programming interface. We use the printed circuit metaphor. The programmer specifies tasks and instantiates by plugging them into a slot (task parallelism). Data parallelism is achieved by specifying the data the task uses. By mixing textual and visual programming, we achieve a convenient interface useful for scientific programming. The interface is also well suited for meta-computing deployment. This kind of programming is very useful for numerical simulation.
Author Dekeyser, J.-L.
Boulet, P.
Devin, F.
Marquet, P.
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  organization: Lab. d'Informatique Fondamentale, Univ. of Lille, Villeneuve d'Ascq, France
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SubjectTerms Application software
Computer languages
Distributed computing
Joining processes
Numerical simulation
Parallel processing
Parallel programming
Printed circuits
Programming environments
Programming profession
Title GASPARD: a visual parallel programming environment
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