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Yunzhengmao Wang
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2020 – today
- 2024
- [j2]Yinglin Yang, Yunzhengmao Wang, Tengyue Yi, Chixiao Chen, Qi Liu:
A 6.4-Gbps 0.41-pJ/b fully-digital die-to-die interconnect PHY for silicon interposer based 2.5D integration. Integr. 96: 102170 (2024) - [j1]Shiwei Liu, Chen Mu, Hao Jiang, Yunzhengmao Wang, Jinshan Zhang, Feng Lin, Keji Zhou, Qi Liu, Chixiao Chen:
HARDSEA: Hybrid Analog-ReRAM Clustering and Digital-SRAM In-Memory Computing Accelerator for Dynamic Sparse Self-Attention in Transformer. IEEE Trans. Very Large Scale Integr. Syst. 32(2): 269-282 (2024) - 2023
- [c5]Hao Jiang, Jiapei Zheng, Yunzhengmao Wang, Jinshan Zhang, Haozhe Zhu, Liangjian Lyu, Yingping Chen, Chixiao Chen, Qi Liu:
A $2.53 \mu \mathrm{W}/\text{channel}$ Event-Driven Neural Spike Sorting Processor with Sparsity-Aware Computing-In-Memory Macros. ISCAS 2023: 1-5 - [c4]Shiwei Liu, Peizhe Li, Jinshan Zhang, Yunzhengmao Wang, Haozhe Zhu, Wenning Jiang, Shan Tang, Chixiao Chen, Qi Liu, Ming Liu:
A 28nm 53.8TOPS/W 8b Sparse Transformer Accelerator with In-Memory Butterfly Zero Skipper for Unstructured-Pruned NN and CIM-Based Local-Attention-Reusable Engine. ISSCC 2023: 250-251 - 2022
- [c3]Chen Mu, Yunzhengmao Wang, Jiapei Zheng, Shiwei Liu, Keji Zhou, Shan Tang, Chixiao Chen, Qi Liu:
A 200M-Query-Vector/s Computing-in-RRAM ADC-less k-Nearest-Neighbor Accelerator with Time-Domain Winner-Takes-All Circuits. AICAS 2022: 222-225 - [c2]Haozhe Zhu, Bo Jiao, Jinshan Zhang, Xinru Jia, Yunzhengmao Wang, Tianchan Guan, Shengcheng Wang, Dimin Niu, Hongzhong Zheng, Chixiao Chen, Mingyu Wang, Lihua Zhang, Xiaoyang Zeng, Qi Liu, Yuan Xie, Ming Liu:
COMB-MCM: Computing-on-Memory-Boundary NN Processor with Bipolar Bitwise Sparsity Optimization for Scalable Multi-Chiplet-Module Edge Machine Learning. ISSCC 2022: 1-3 - 2021
- [c1]Jinshan Zhang, Bo Jiao, Yunzhengmao Wang, Haozhe Zhu, Lihua Zhang, Chixiao Chen:
ALPINE: An Agile Processing-in-Memory Macro Compilation Framework. ACM Great Lakes Symposium on VLSI 2021: 333-338
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last updated on 2024-10-07 21:18 CEST by the dblp team
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