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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Bibliographic Details

Published in:	Proceedings of the ASP-DAC ... Asia and South Pacific Design Automation Conference pp. 575 - 580
Main Authors:	Motamedi, Mohammad, Gysel, Philipp, Akella, Venkatesh, Ghiasi, Soheil
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.01.2016
Subjects:	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 Access:	Get full text
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