DS-CIM: Digital Stochastic Computing-In-Memory Featuring Accurate OR-Accumulation via Sample Region Remapping for Edge AI Models
Digital stochastic computing-in-memory with accurate OR-accumulation via sample-region remapping, enabling efficient edge AI inference with reduced accumulation cost.
Citation
Kunming Shao, Liang Zhao, Jiangnan Yu, Zhipeng Liao, Xiaomeng Wang, Yi Zou, Tim Kwang-Ting Cheng, and Chi-Ying Tsui. DS-CIM: Digital Stochastic Computing-In-Memory Featuring Accurate OR-Accumulation via Sample Region Remapping for Edge AI Models. In 2026 Design, Automation & Test in Europe Conference (DATE), 2026.
