Image Quantisation on a Massively Parallel Embedded Processor

Jacobs, Jan and Engelen van, Leroy and Kuper, Jan and Smit, Gerard J.M. (2007) Image Quantisation on a Massively Parallel Embedded Processor. In: Embedded Computer Systems: Architectures, Modeling, and Simulation, 16-19 July 2007, Samos, Greece.

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Abstract:	Developing code for SIMD type hardware architectures often is a tedious job. This is caused by the absence of both a coherent methodological framework and a hardware independent tooling. Besides, the inherently difficult nature of programming dedicated massively parallel embedded processors, complicates the matter. This paper describes the quest for collecting and shaping the necessary methodological parts into a single framework called IRIS. This framework is illustrated by a concrete case "Stochastic Image Processing". IRIS is based on an incremental construction of executable representations, which converge to the final target language implementation in a semi-automated way.
Item Type:	Conference or Workshop Item
Copyright:	© 2007 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Computer Architecture for Embedded Systems (CAES)
Link to this item:	http://purl.utwente.nl/publications/61928
Official URL:	http://dx.doi.org/10.1007/978-3-540-73625-7_16
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