A framework for accelerating neuromorphic-vision algorithms on FPGAs

Implementations of neuromorphic algorithms are traditionally implemented on platforms which consume significant power, falling short of their biologically underpinnings. Recent improvements in FPGA technology have led to FPGAs becoming a platform in which these rapidly evolving algorithms can be imp...

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Veröffentlicht in:	2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) S. 810 - 813
Hauptverfasser:	DeBole, M., Maashri, A. A., Cotter, M., Yu, C.-L, Chakrabarti, C., Narayanan, V.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2011
Schlagworte:	Acceleration Algorithm design and analysis Classification algorithms Computational modeling Field programmable gate arrays FPGA application mapping FPGA programming IP networks Multi-FPGA partitioning Neuromorphic vision algorithms Neuromorphics
ISBN:	1457713993, 9781457713996
ISSN:	1092-3152
Online-Zugang:	Volltext
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