Design space exploration of FPGA-based Deep Convolutional Neural Networks

Deep Convolutional Neural Networks (DCNN) have proven to be very effective in many pattern recognition applications, such as image classification and speech recognition. Due to their computational complexity, DCNNs demand implementations that utilize custom hardware accelerators to meet performance...

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Veröffentlicht in:	Proceedings of the ASP-DAC ... Asia and South Pacific Design Automation Conference S. 575 - 580
Hauptverfasser:	Motamedi, Mohammad, Gysel, Philipp, Akella, Venkatesh, Ghiasi, Soheil
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2016
Schlagworte:	Accelerators Computer architecture Computer simulation Convolution Design analysis Design engineering Field programmable gate arrays Kernel Mathematical model Mathematical models Neural networks Parallel processing Platforms Space exploration
ISSN:	2153-697X
Online-Zugang:	Volltext
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