Subtractor-Based CNN Inference Accelerator
Author:
Affiliation:
1. Dalhousie University,The Department of Electrical and Computer Engineering,Halifax,NS,Canada
2. Dalhousie University,The Department of Engineering Mathematics and Internetworking,Halifax,NS,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10288628/10288648/10288852.pdf?arnumber=10288852
Reference23 articles.
1. STICKER: An Energy-Efficient Multi-Sparsity Compatible Accelerator for Convolutional Neural Networks in 65-nm CMOS
2. A Novel, Efficient Implementation of a Local Binary Convolutional Neural Network
3. PyTorch: An Imperative Style, High-Performance Deep Learning Library;paszke;Advances in neural information processing systems,2019
4. CNN Inference Using a Preprocessing Precision Controller and Approximate Multipliers With Various Precisions
5. Impact of Approximate Multipliers on VGG Deep Learning Network
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