2002Unpublished venueRequires access

Integrated software environment for dataflow computation

Jan Kwiatkowski, Marek Andruszkiewicz, S. Plaskowicki

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Abstract

Presently there is the need for incorporating novel issues, for example new hardware architectures like array processors, dataflow computers, and new concepts like nondeterminism and concurrency into existing computer science curricula. Dataflow processing is based on the principle that an instruction is executable as soon as all its operands value are available. Dataflow will thus take maximum advantage of the parallelism in the program without having to specify this parallelism explicitly. The paper presents a short description of the integrated software environment which gives the possibility of programming dataflow computers at different programming levels.>

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What this paper is about

Presently there is the need for incorporating novel issues, for example new hardware architectures like array processors, dataflow computers, and new concepts like nondeterminism and concurrency into existing computer science curricula. Dataflow processing is based on the principle that an instruction is executable as soon as all its operands value are available. Dataflow will thus take maximum advantage of the parallelism in the program without having to specify this parallelism explicitly. The paper presents a short description of the integrated software environment which gives the possibility of programming dataflow computers at different programming levels.>

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Available abstract

Presently there is the need for incorporating novel issues, for example new hardware architectures like array processors, dataflow computers, and new concepts like nondeterminism and concurrency into existing computer science curricula. Dataflow processing is based on the principle that an instruction is executable as soon as all its operands value are available. Dataflow will thus take maximum advantage of the parallelism in the program without having to specify this parallelism explicitly. The paper presents a short description of the integrated software environment which gives the possibility of programming dataflow computers at different programming levels.>

Key concepts: Dataflow, Computer science, Executable, Operand, Programming language, Parallel computing, Parallelism (grammar), Dataflow architecture

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