TernGEMM: GEneral Matrix Multiply Library with Ternary Weights for Fast DNN Inference. - Seokhyeon Choi; Kyuhong Shim; Jungwook Choi; Wonyong Sung; Byonghyo Shim (SiPS, 2021)

Optimization of General Matrix Multiply Library for Ternary Weight for Fast DNN Inference. - Seokhyeon Choi; Kyuhong Shim; Jungwook Choi; Wonyong Sung; Byonghyo Shim (J. Signal Process. Syst., 2022)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)