MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks

Xin Qiao, Jiahao Song, Youming Yang, Renjie Wei, Xiyuan Tang, Meng Li, Runsheng Wang, Yuan Wang
January, 2024
Type
Conference paper
Publication
In IEEE Custom Integrated Circuits Conference (CICC)
Hardware Acc Efficient AI
Meng Li
Meng Li
Assistant Professor

I am currently a tenure-track assistant professor jointly affiliated with the Institute for Artificial Intelligence and School of Integrated Circuits in Peking University. My research interests focus on efficient and secure multi-modality AI acceleration algorithms and hardwares.