Lemem: A 179.8TFLOPS/W, 24.21TFLOPS Learning-In-Memory Processor with Layer-Fused Forward/Backward Pipeline for Edge DNN/SNN Training/Inference
A-SSCC 2025IEEE Asian Solid-State Circuits Conference (A-SSCC)
This paper presents a learning-in-memory processor with a layer-fused forward/backward pipeline for edge DNN/SNN training and inference.
Citation
Fengshi Tian, Kunming Shao, Jiakun Zheng, Zilu Liu, Hui Wu, Zhipeng Liao, Jingyu He, Xihao Guan, Pingcheng Dong, Chaoming Fang, Ziyang Shen, Shiqi Zhao, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, and Kwang-Ting Tim Cheng. Lemem: A 179.8TFLOPS/W, 24.21TFLOPS Learning-In-Memory Processor with Layer-Fused Forward/Backward Pipeline for Edge DNN/SNN Training/Inference. In 2025 IEEE Asian Solid-State Circuits Conference (A-SSCC), pages 94-96. IEEE, 2025.