Advances in the dataflow computational model |
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| Authors: | Walid A Najjar Edward A Lee Guang R Gao |
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| Affiliation: | 1. Smap UA-UVA-CSIC, Parque Científico Universidad de Valladolid, Paseo de Belén, s/n, 47011 Valladolid, Spain;2. Dept. Física Aplicada, Facultad de Ciencias, Universidad de Valladolid, Paseo de Belén, 7, 47011 Valladolid, Spain;3. Instituto de Ciencia y Tecnología de Polímeros, CSIC, Juan de la Cierva 3, 28006 Madrid, Spain;2. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia |
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| Abstract: | The dataflow program graph execution model, or dataflow for short, is an alternative to the stored-program (von Neumann) execution model. Because it relies on a graph representation of programs, the strengths of the dataflow model are very much the complements of those of the stored-program one. In the last thirty or so years since it was proposed, the dataflow model of computation has been used and developed in very many areas of computing research: from programming languages to processor design, and from signal processing to reconfigurable computing. This paper is a review of the current state-of-the-art in the applications of the dataflow model of computation. It focuses on three areas: multithreaded computing, signal processing and reconfigurable computing. |
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| Keywords: | Computational models Dataflow Multithreaded computer architecture von Neumann computer Dataflow history Memory models |
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