Venus: A Versatile Deep Neural Network Accelerator Architecture Design for Multiple Applications

Author:

Yang Jiaqi1,Zheng Hao2,Louri Ahmed1

Affiliation:

1. George Washington University,Electrical and Computer Engineering,Washington, DC,USA

2. University of Central Florida,Electrical and Computer Engineering,Orlando,Florida,USA

Publisher

IEEE

Cited by 7 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. An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

2. A dataflow architecture with distributed control for DNN acceleration;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

3. Aurora: A Versatile and Flexible Accelerator for Graph Neural Networks;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

4. Versa-DNN: A Versatile Architecture Enabling High-Performance and Energy-Efficient Multi-DNN Acceleration;IEEE Transactions on Parallel and Distributed Systems;2024-02

5. Dynamic Precision-Scalable Thermal Mapping Algorithm for Three Dimensional Systolic-Array Based Neural Network Accelerator;IEEE Transactions on Consumer Electronics;2024-02

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