LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications

Deployment of deep neural networks for applications that require very high throughput or extremely low latency is a severe computational challenge, further exacerbated by inefficiencies in mapping the computation to hardware. We present a novel method for designing neural network topologies that dir...

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Bibliographic Details

Published in:	International Conference on Field-programmable Logic and Applications pp. 291 - 297
Main Authors:	Umuroglu, Yaman, Akhauri, Yash, Fraser, Nicholas James, Blott, Michaela
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2020
Subjects:	Costs deep learning fpga Hardware logic synthesis machine learning network security Network topology Neurons quantization Quantization (signal) quantized neural network sparsity Throughput Topology
ISSN:	1946-1488
Online Access:	Get full text
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