Towards memory-efficient processing-in-memory architecture for convolutional neural networks

Author:

Wang Yi1,Zhang Mingxu2,Yang Jing3

Affiliation:

1. Shenzhen University, China

2. Shenzhen University, China / Institute of Computing Technology at Chinese Academy of Sciences, China

3. Harbin Institute of Technology, China

Funder

Natural Science Foundation of Guangdong Province

Natural Science Foundation of SZU

National Natural Science Foundation of China

State Key Laboratory of Computer Architecture, Institute of Computing Technology,Chinese Academy of Sciences

Shenzhen Science and Technology Foundation

Publisher

ACM

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep reinforcement learning‐based autonomous parking design with neural network compute accelerators;Concurrency and Computation: Practice and Experience;2021-11-02

2. Active Storage;Encyclopedia of Big Data Technologies;2019

3. Active Storage;Encyclopedia of Big Data Technologies;2018

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