Fangyuan Dong

According to our database, Fangyuan Dong authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A 28 nm 16-kb Sign-Extension-Less Digital-Compute-in-Memory Macro With Extension-Friendly Compute Units and Accuracy-Adjustable Adder-Tree.

Xin Si, Fangyuan Dong, Shengnan He, Yuhui Shi, Anran Yin, Hui Gao, Xiang Li

IEEE Trans. Very Large Scale Integr. Syst., November, 2024

A 28-nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-Point-Computing-Unit and Double-Bit 6T-SRAM Computing-in-Memory Macro for Floating-Point CNNs.

An Guo, Chen Xi, Fangyuan Dong, Xingyu Pu, Dongqi Li, Jingmin Zhang, Xueshan Dong, Hui Gao, Yiran Zhang, Bo Wang, Jun Yang, Xin Si

IEEE J. Solid State Circuits, September, 2024

Toggle Rate Aware Quantization Model Based on Digital Floating-Point Computing-In-Memory Architecture.

Xi Chen, Yitong Zhao, An Guo, Jinwu Chen, Fangyuan Dong, Zhaoyang Zhang, Tianzhu Xiong, Bo Wang, Yuyao Kong, Xin Si

IEEE Trans. Circuits Syst. II Express Briefs, June, 2024

34.3 A 22nm 64kb Lightning-Like Hybrid Computing-in-Memory Macro with a Compressed Adder Tree and Analog-Storage Quantizers for Transformer and CNNs.

An Guo, Xi Chen, Fangyuan Dong, Jinwu Chen, Zhihang Yuan, Xing Hu, Yuanpeng Zhang, Jingmin Zhang, Yuchen Tang, Zhican Zhang, Gang Chen, Dawei Yang, Zhaoyang Zhang, Lizheng Ren, Tianzhu Xiong, Bo Wang, Bo Liu, Weiwei Shan, Xinning Liu, Hao Cai, Guangyu Sun, Jun Yang, Xin Si

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

A 28nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-Point-Computing-Unit and Double-Bit 6T-SRAM Computing-in-Memory Macro for Floating-Point CNNs.

An Guo, Xin Si, Xi Chen, Fangyuan Dong, Xingyu Pu, Dongqi Li, Yongliang Zhou, Lizheng Ren, Yeyang Xue, Xueshan Dong, Hui Gao, Yiran Zhang, Jingmin Zhang, Yuyao Kong, Tianzhu Xiong, Bo Wang, Hao Cai, Weiwei Shan, Jun Yang

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

2017

DOA estimation of fast moving target in accelerated scene.

Fangyuan Dong, Qing Dong, Mingjiang Yan, Yuxiang Yang, Changxiong Xia, Qun Wan

Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017