An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks
Convolutional neural networks (CNNs) are rapidly evolving and being applied to a broad range of applications. Given a specific application, an increasing challenge is to search the appropriate CNN algorithm and efficiently map it to the target hardware. The FPGA-based accelerator has the advantage o...
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| Published in: | International Conference on Field-programmable Logic and Applications pp. 1 - 8 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
Ghent University
01.09.2017
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| Subjects: | |
| ISSN: | 1946-1488 |
| Online Access: | Get full text |
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