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2020 – today
- 2024
[j3]Tongda Wu, Luchang Lei, Yifan He, Wenbin Jia, Songming Yu, Yuxuan Huang, Hongyang Jia, Huazhong Yang, Yongpan Liu:
A Heterogeneous Microprocessor for Intermittent AI Inference Using Nonvolatile-SRAM-Based Compute-In-Memory. IEEE Trans. Circuits Syst. II Express Briefs 71(11): 4753-4757 (2024)- 2023
- [j2]Songming Yu
, Yifan He, Hongyang Jia, Wenyu Sun, Mufeng Zhou, Luchang Lei, Wentao Zhao, Guofu Ma, Huazhong Yang, Yongpan Liu:
A Heterogeneous Microprocessor Based on All-Digital Compute-in-Memory for End-to-End AIoT Inference. IEEE Trans. Circuits Syst. II Express Briefs 70(8): 3099-3103 (2023) - [c3]Jinshan Yue, Mingtao Zhan, Zi Wang, Yifan He, Yaolei Li, Songming Yu, Wenyu Sun, Lu Jie, Chunmeng Dou, Xueqing Li, Nan Sun, Huazhong Yang, Ming Liu, Yongpan Liu:
A 5.6-89.9TOPS/W Heterogeneous Computing-in-Memory SoC with High-Utilization Producer-Consumer Architecture and High-Frequency Read-Free CIM Macro. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j1]Jingyu Wang, Songming Yu, Zhuqing Yuan, Jinshan Yue, Zhe Yuan, Ruoyang Liu, Yanzhi Wang, Huazhong Yang, Xueqing Li, Yongpan Liu:
PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 5043-5056 (2022) - 2021
- [c2]Songming Yu, Lu Zhang, Jingyu Wang, Jinshan Yue, Zhuqing Yuan, Xueqing Li, Huazhong Yang, Yongpan Liu:
High Area/Energy Efficiency RRAM CNN Accelerator with Pattern-Pruning-Based Weight Mapping Scheme. NVMSA 2021: 1-6 - 2020
- [c1]Jingyu Wang, Songming Yu, Jinshan Yue, Zhe Yuan, Zhuqing Yuan, Huazhong Yang, Xueqing Li, Yongpan Liu:
High PE Utilization CNN Accelerator with Channel Fusion Supporting Pattern-Compressed Sparse Neural Networks. DAC 2020: 1-6 - [i1]Songming Yu, Yongpan Liu, Lu Zhang, Jingyu Wang, Jinshan Yue, Zhuqing Yuan, Xueqing Li, Huazhong Yang:
High Area/Energy Efficiency RRAM CNN Accelerator with Kernel-Reordering Weight Mapping Scheme Based on Pattern Pruning. CoRR abs/2010.06156 (2020)
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