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RANN: A Reconfigurable Artificial Neural Network Model for Task Scheduling on Reconfigurable System-on-Chip

Daniel Chillet 1 Sébastien Pillement 1 Olivier Sentieys 1
1 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
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https://hal.inria.fr/inria-00480545
Contributor : Sébastien Pillement Connect in order to contact the contributor
Submitted on : Tuesday, May 4, 2010 - 2:27:04 PM
Last modification on : Tuesday, October 19, 2021 - 11:58:51 PM

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  • HAL Id : inria-00480545, version 1

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CNRS | INRIA | IRISA | UNIV-RENNES1 | IRISA-D3 | UR1-MATH-STIC | UR1-UFR-ISTIC | UNIV-RENNES | INSTITUT-TELECOM | INSA-RENNES | EC-PARIS | UR1-MATH-NUM

Citation

Daniel Chillet, Sébastien Pillement, Olivier Sentieys. RANN: A Reconfigurable Artificial Neural Network Model for Task Scheduling on Reconfigurable System-on-Chip. G. Gogniat and D. Milojevic and A. Morawiec and A. T. Erdogan. Algorithm-Architecture Matching for Signal and Image Processing, Springer Verlag, 2010. ⟨inria-00480545⟩

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