A Heuristic and Greedy Weight Remapping Scheme with Hardware Optimization for Irregular Sparse Neural Networks Implemented on CIM Accelerator in Edge AI Applications
Author:
Affiliation:
1. Fudan University,State Key Laboratory of Integrated Chips and Systems,China
2. Tongji University,School of Mechanical Engineering,China
3. Shanghai Integrated Circuits R&D Center Co., Ltd.,China
Funder
National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10473777/10473787/10473919.pdf?arnumber=10473919
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3. Design of an Area-Efficient Computing in Memory Platform Based on STT-MRAM
4. Learning both weights and connections for efficient neural network;Han;Advances in neural information processing systems,2015
5. Sparse reram engine: Joint exploration of activation and weight sparsity in compressed neural networks;Yang
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