Chapter Six - Deep learning with GPUs. - Won Jeon; Gun Ko; Jiwon Lee; Hyunwuk Lee; Dongho Ha; Won Woo Ro (Adv. Comput., 2021)

Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management. - Seokjin Go; Hyunwuk Lee; Junsung Kim 002; Jiwon Lee; Myung Kuk Yoon; Won Woo Ro (ISPASS, 2023)

Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks. - Hyunwuk Lee; Hyungjun Jang; Sungbin Kim; Sungwoo Kim 003; Wonho Cho; Won Woo Ro (MICRO, 2023)

AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models. - Sungbin Kim; Hyunwuk Lee; Sungwoo Kim 003; Cheolhwan Kim; Won Woo Ro (ICCD, 2024)

GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs. - Seunghyun Jin 001; Hyunwuk Lee; Won Woo Ro (ISLPED, 2024)

SHREG: Mitigating register redundancy in GPUs. - Seunghyun Jin 002; Hyunwuk Lee; Jonghyun Lee; Junsung Kim 002; Won Woo Ro (J. Syst. Archit., 2024)

Ditto: Accelerating Diffusion Model via Temporal Value Similarity. - Sungbin Kim; Hyunwuk Lee; Wonho Cho; Mincheol Park; Won Woo Ro (HPCA, 2025)

COSMOS: An LLC Contention Slowdown Model for Heterogeneous Multi-Core Systems. - Yongju Lee 003; Jaewon Kwon; Cheolhwan Kim; Enhyeok Jang; Jiwon Lee; Hyunwuk Lee; Won Woo Ro (ISPASS, 2025)

REC: Enhancing fine-grained cache coherence protocol in multi-GPU systems. - Gun Ko; Jiwon Lee; Hongju Kal; Hyunwuk Lee; Won Woo Ro (J. Syst. Archit., 2025)