Pruning and quantization for deep neural network acceleration: A survey

Author:

Liang Tailin,Glossner John,Wang Lei,Shi Shaobo,Zhang Xiaotong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference277 articles.

1. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems;Abadi,2016

2. Abdel-Hamid, O., Mohamed, A.r., Jiang, H., Deng, L., Penn, G., Yu, D., 2014. Convolutional Neural Networks for Speech Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 22, 1533–1545. http://ieeexplore.ieee.org/document/6857341/, 10.1109/TASLP.2014.2339736.

3. Abdelouahab, K., Pelcat, M., Serot, J., Berry, F., 2018. Accelerating CNN inference on FPGAs: A Survey. ArXiv preprint http://arxiv.org/abs/1806.01683.

4. Achronix Semiconductor Corporation, 2020. FPGAs Enable the Next Generation of Communication and Networking Solutions. White Paper WP021, 1–15.

5. Albanie, 2020. convnet-burden. https://github.com/albanie/convnet-burden.

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