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

R2D2: Removing ReDunDancy Utilizing Linearity of Address Generation in GPUs. - Dongho Ha; Yunho Oh; Won Woo Ro (ISCA, 2023)

TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors. - Dongho Ha; Won Woo Ro; Hung-Wei Tseng 001 (ISLPED, 2023)

MAD MAcce: Supporting Multiply-Add Operations for Democratizing Matrix-Multiplication Accelerators. - Seunghwan Sung; Sujin Hur; Sungwoo Kim 003; Dongho Ha; Yunho Oh; Won Woo Ro (MICRO, 2023)

Recompiling QAOA Circuits on Various Rotational Directions. - Enhyeok Jang; Dongho Ha; Seungwoo Choi; Youngmin Kim; Jaewon Kwon; Yongju Lee 003; Sungwoo Ahn; Hyungseok Kim; Won Woo Ro (PACT, 2024)

Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs. - Dongho Ha; Lufei Liu; Yuan-Hsi Chou; Seokjin Go; Won Woo Ro; Hung-Wei Tseng 001; Tor M. Aamodt (MICRO, 2024)

M3XU: Achieving High-Precision and Complex Matrix Multiplication with Low-Precision MXUs. - Dongho Ha; Yunan Zhang; Chen-Chien Kao; Christopher J. Hughes; Won Woo Ro; Hung-Wei Tseng 001 (SC, 2024)

Effective Interplay between Sparsity and Quantization: From Theory to Practice. - Simla Burcu Harma; Ayan Chakraborty 005; Elizaveta Kostenok; Danila Mishin; Dongho Ha; Babak Falsafi; Martin Jaggi; Ming Liu; Yunho Oh; Suvinay Subramanian; Amir Yazdanbakhsh (ICLR, 2025)

Avant-Garde: Empowering GPUs with Scaled Numeric Formats. - Minseong Gil; Dongho Ha; Simla Burcu Harma; Myung Kuk Yoon; Babak Falsafi; Won Woo Ro; Yunho Oh (ISCA, 2025)