Mingyen Lee

According to our database, Mingyen Lee authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Cramming More Weight Data Onto Compute-in-Memory Macros for High Task-Level Energy Efficiency Using Custom ROM With 3984-kb/mm² Density in 65-nm CMOS.

Guodong Yin, Yiming Chen, Mufeng Zhou, Wenjun Tang, Mingyen Lee, Zekun Yang, Tianyu Liao, Xirui Du, Vijaykrishnan Narayanan, Huazhong Yang, Hongyang Jia, Yongpan Liu, Xueqing Li

IEEE J. Solid State Circuits, June, 2024

GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility.

Yiming Chen, Mingyen Lee, Guohao Dai, Mufeng Zhou, Nagadastagiri Challapalle, Tianyi Wang, Yao Yu, Yongpan Liu, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li

IEEE Trans. Emerg. Top. Comput., 2024

A 28nm 8928Kb/mm²-Weight-Density Hybrid SRAM/ROM Compute-in-Memory Architecture Reducing >95% Weight Loading from DRAM.

Guodong Yin, Yiming Chen, Mingyen Lee, Xirui Du, Yue Ke, Wenjun Tang, Zhonghao Chen, Mufeng Zhou, Jinshan Yue, Huazhong Yang, Hongyang Jia, Yongpan Liu, Xueqing Li

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

ZEBRA: A Zero-Bit Robust-Accumulation Compute-In-Memory Approach for Neural Network Acceleration Utilizing Different Bitwise Patterns.

Yiming Chen, Guodong Yin, Hongtao Zhong, Mingyen Lee, Huazhong Yang, Sumitha George, Vijaykrishnan Narayanan, Xueqing Li

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

SAMBA: Single-ADC Multi-Bit Accumulation Compute-in-Memory Using Nonlinearity- Compensated Fully Parallel Analog Adder Tree.

Yiming Chen, Guodong Yin, Mufeng Zhou, Wenjun Tang, Zekun Yang, Mingyen Lee, Xirui Du, Jinshan Yue, Jiaxin Liu, Huazhong Yang, Yongpan Liu, Xueqing Li

IEEE Trans. Circuits Syst. I Regul. Pap., July, 2023

FAST: A Fully-Concurrent Access SRAM Topology for High Row-Wise Parallelism Applications Based on Dynamic Shift Operations.

Yiming Chen, Yushen Fu, Mingyen Lee, Sumitha George, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li

IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

FeFET-Based Logic-in-Memory Supporting SA-Free Write-Back and Fully Dynamic Access With Reduced Bitline Charging Activity and Recycled Bitline Charge.

Wenjun Tang, Mingyen Lee, Juejian Wu, Yixin Xu, Yao Yu, Yongpan Liu, Kai Ni, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li

IEEE Trans. Circuits Syst. I Regul. Pap., 2023

Victor: A Variation-resilient Approach Using Cell-Clustered Charge-domain computing for High-density High-throughput MLC CiM.

Mingyen Lee, Wenjun Tang, Yiming Chen, Juejian Wu, Hongtao Zhong, Yixin Xu, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface.

Guodong Yin, Mufeng Zhou, Yiming Chen, Wenjun Tang, Zekun Yang, Mingyen Lee, Xirui Du, Jinshan Yue, Jiaxin Liu, Huazhong Yang, Yongpan Liu, Xueqing Li

CoRR, 2022

GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph.

Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li

CoRR, 2022

FAST: A Fully-Concurrent Access Technique to All SRAM Rows for Enhanced Speed and Energy Efficiency in Data-Intensive Applications.

Yiming Chen, Yushen Fu, Mingyen Lee, Sumitha George, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li

CoRR, 2022

Hidden-ROM: A Compute-in-ROM Architecture to Deploy Large-Scale Neural Networks on Chip with Flexible and Scalable Post-Fabrication Task Transfer Capability.

Yiming Chen, Guodong Yin, Mingyen Lee, Wenjun Tang, Zekun Yang, Yongpan Liu, Huazhong Yang, Xueqing Li

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip.

Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2020

FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface.

Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020