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30 April 2012 GePaRDT: a framework for massively parallel processing of dataflow graphs
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Abstract
The trend towards computers with multiple processing units keeps going with no end in sight. Modern consumer computers come with 2 - 6 processing units. Programming methods have been unable to keep up with this fast development. In this paper we present a framework that uses a dataflow model for parallel processing: the Generic Parallel Rapid Development Toolkit, GePaRDT. This intuitive programming model eases the concurrent usage of many processing units without specialized knowledge about parallel programming methods and it's pitfalls.
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Alexander Schöch, Carlo Bach, Andreas Ettemeyer, and Sabine Linz-Dittrich "GePaRDT: a framework for massively parallel processing of dataflow graphs", Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 843702 (30 April 2012); https://doi.org/10.1117/12.921677
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