A 22nm 4Mb STT-MRAM Data-Encrypted Near-Memory Computation Macro with a 192GB/s Read-and-Decryption Bandwidth and 25.1-55.1TOPS/W 8b MAC for AI Operations. - Yen-Cheng Chiu; Chia-Sheng Yang; Shih-Hsih Teng; Hsiao-Yu Huang; Fu-Chun Chang; Yuan Wu 009; Yu-An Chien; Fang-Ling Hsieh; Chung-Yuan Li; Guan-Yi Lin; Po-Jung Chen; Tsen-Hsiang Pan; et al. (ISSCC, 2022)

A 22nm 8Mb STT-MRAM Near-Memory-Computing Macro with 8b-Precision and 46.4-160.1TOPS/W for Edge-AI Devices. - Yen-Cheng Chiu; Win-San Khwa; Chung-Yuan Li; Fang-Ling Hsieh; Yu-An Chien; Guan-Yi Lin; Po-Jung Chen; Tsen-Hsiang Pan; De-Qi You; Fang-Yi Chen; Andrew Lee; Chung-Chuan Lo; et al. (ISSCC, 2023)

A 28nm Nonvolatile AI Edge Processor using 4Mb Analog-Based Near-Memory-Compute ReRAM with 27.2 TOPS/W for Tiny AI Edge Devices. - Tai-Hao Wen; Je-Min Hung; Hung-Hsi Hsu; Yuan Wu 009; Fu-Chun Chang; Chung-Yuan Li; Chih-Han Chien; Chin-I Su; Win-San Khwa; Jui-Jen Wu; Chung-Chuan Lo; Ren-Shuo Liu; et al. (VLSI Technology and Circuits, 2023)

An 8b-Precision 8-Mb STT-MRAM Near-Memory-Compute Macro Using Weight-Feature and Input-Sparsity Aware Schemes for Energy-Efficient Edge AI Devices. - De-Qi You; Yen-Cheng Chiu; Win-San Khwa; Chung-Yuan Li; Fang-Ling Hsieh; Yu-An Chien; Chung-Chuan Lo; Ren-Shuo Liu; Chih-Cheng Hsieh; Kea-Tiong Tang; Yu-Der Chih; Tsung-Yung Jonathan Chang; et al. (IEEE J. Solid State Circuits, 2024)