GePaRDT: a framework for massively parallel processing of dataflow graphs

Alexander Schöch; Carlo Bach; Andreas Ettemeyer; Sabine Linz-Dittrich

doi:10.1117/12.921677

30 April 2012 GePaRDT: a framework for massively parallel processing of dataflow graphs

Alexander Schöch, Carlo Bach, Andreas Ettemeyer, Sabine Linz-Dittrich

Proceedings Volume 8437, Real-Time Image and Video Processing 2012; 843702 (2012) https://doi.org/10.1117/12.921677
Event: SPIE Photonics Europe, 2012, Brussels, Belgium

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.

Citation Download Citation

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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