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Proceedings Paper

GePaRDT: a framework for massively parallel processing of dataflow graphs
Author(s): Alexander Schöch; Carlo Bach; Andreas Ettemeyer; Sabine Linz-Dittrich
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Paper 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.

Paper Details

Date Published: 1 May 2012
PDF: 11 pages
Proc. SPIE 8437, Real-Time Image and Video Processing 2012, 843702 (1 May 2012); doi: 10.1117/12.921677
Show Author Affiliations
Alexander Schöch, NTB Interstate Univ. of Applied Science of Technology Buchs (Switzerland)
Carlo Bach, NTB Interstate Univ. of Applied Science of Technology Buchs (Switzerland)
Andreas Ettemeyer, NTB Interstate Univ. of Applied Science of Technology Buchs (Switzerland)
Sabine Linz-Dittrich, NTB Interstate Univ. of Applied Science of Technology Buchs (Switzerland)


Published in SPIE Proceedings Vol. 8437:
Real-Time Image and Video Processing 2012
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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