10 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.AR2024★ 7 cited
STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar
Yifeng Zhai, Bing Li, Bonan Yan +1
RRAM crossbars have been studied to construct in-memory accelerators for neural network applications due to their in-situ computing capability. However, prior RRAM-based accelerato…
cs.AR2024★ 10 cited
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
Songyun Qu, Shixin Zhao, Bing Li +4
In recent years, various computing-in-memory (CIM) processors have been presented, showing superior performance over traditional architectures. To unleash the potential of various…
cs.CR2023★ 3 cited
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System
Hao Lv, Bing Li, Lei Zhang +2
The RRAM-based neuromorphic computing system has amassed explosive interests for its superior data processing capability and energy efficiency than traditional architectures, and t…