The challenge of multi-operand adders in CNNs on FPGAs
Author:
Affiliation:
1. Universite Clermont Auvergne, Clermont Ferrand, France
2. Institut Pascal, INSA Rennes, Rennes, France
Funder
Labex
Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3229631.3235024
Reference15 articles.
1. Kamel Abdelouahab Maxime Pelcat Jocelyn Serot Cedric Bourrasset and Francois Berry. 2017. Tactics to Directly Map CNN graphs on Embedded FPGAs. IEEE Embedded Systems Letters (2017) 1--4. Kamel Abdelouahab Maxime Pelcat Jocelyn Serot Cedric Bourrasset and Francois Berry. 2017. Tactics to Directly Map CNN graphs on Embedded FPGAs. IEEE Embedded Systems Letters (2017) 1--4.
2. Deep Residual Learning for Image Recognition
3. Binarized neural networks;Hubara Itay;Advances in Neural Information Processing Systems - NIPS',2016
4. A Comparative Review and Evaluation of Approximate Adders
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