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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL
verfasst von : Jörn Hoffmann, Frank Güttler, Karim El-Laithy, Martin Bogdan
Erschienen in: Artificial Neural Networks and Machine Learning – ICANN 2012
Verlag: Springer Berlin Heidelberg
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In this work a novel approach to automatically generate hardware is introduced that allows accelerated simulation of artificial neural networks (ANN) on field-programming gate arrays (FPGAs). A compiler architecture has been designed that primarily aims at reducing the development effort for non-hardware developers. This is done by implementing automatic generation of accordingly adjusted hardware processors. Deduced from high-level OpenCL source code, the processors are able to spatially map ANNs in a massive parallel fashion.