Je-Min Hung

Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices

Chuan-Jia Jhang, Cheng-Xin Xue, Je-Min Hung et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 2021 · 270 citations

Computing, Computer Engineering, Electrical Engineering +14

16.1 A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices

Cheng-Xin Xue, Je-Min Hung, Hui-Yao Kao et al. · 2021 · 176 citations

Engineering, Computer Engineering, Computer Science +14

A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices

Cheng-Xin Xue, Yen-Cheng Chiu, Ta-Wei Liu et al. · Nature Electronics · 2020 · 168 citations

Computing, Computer Engineering, Computer Science +15

An 8-Mb DC-Current-Free Binary-to-8b Precision ReRAM Nonvolatile Computing-in-Memory Macro using Time-Space-Readout with 1286.4-21.6TOPS/W for Edge-AI Devices

Je-Min Hung, Yen-Hsiang Huang, Sheng-Po Huang et al. · 2022 IEEE International Solid- State Circuits Conference (ISSCC) · 2022 · 120 citations

Computing, Computer Engineering, Computer Science +15

A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices

Je-Min Hung, Cheng-Xin Xue, Hui-Yao Kao et al. · Nature Electronics · 2021 · 112 citations

Computing, Computer Engineering, Computer Science +15