PipeDCIM: 28nm $115.11\mathrm{TOPS/mm}^{2}\times \mathrm{TOPS/W}@1.24\mathrm{GHz}$ Pipeline Digital CIM Macro with an Auto-Design Tool for Diverse High-Performance AI Scenarios
Year: 2025
Type: conference-paper
Authors: Jia Chen, Tin-Chak Pang, Yat-Fong Yung, Yi Deng, Anqi Yin, Xiao Huo, Luhong Liang, Zhongrui Wang, Chi-Ying Tsui, Kwang-Ting Cheng, Fengbin Tu
Institution: Hong Kong University of Science and Technology
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4415933864