An OpenCL framework for heterogeneous multicores with local memory. - Jaejin Lee; Jungwon Kim; Sangmin Seo; Seungkyun Kim; Jung-Ho Park; Honggyu Kim; Thanh Tuan Dao; Yongjin Cho; Sung Jong Seo; Seung Hak Lee; Seung Mo Cho; Hyo Jung Song; et al. (PACT, 2010)

Bridging OpenCL and CUDA: a comparative analysis and translation. - Junghyun Kim; Thanh Tuan Dao; Jaehoon Jung; Jinyoung Joo; Jaejin Lee (SC, 2015)

A Performance Model for GPUs with Caches. - Thanh Tuan Dao; Jungwon Kim; Sangmin Seo; Bernhard Egger 002; Jaejin Lee (IEEE Trans. Parallel Distributed Syst., 2015)

An Auto-Tuner for OpenCL Work-Group Size on GPUs. - Thanh Tuan Dao; Jaejin Lee (IEEE Trans. Parallel Distributed Syst., 2018)

DeepCuts: a deep learning optimization framework for versatile GPU workloads. - Wookeun Jung; Thanh Tuan Dao; Jaejin Lee (PLDI, 2021)

LLMPerf: GPU Performance Modeling meets Large Language Models. - Minh-Khoi Nguyen-Nhat; Hoang Duy Nguyen Do; Huyen Thao Le; Thanh Tuan Dao (MASCOTS, 2024)

LLMPerf: GPU Performance Modeling meets Large Language Models. - Khoi N. M. Nguyen; Hoang Duy Nguyen Do; Huyen Thao Le; Thanh Tuan Dao (CoRR, 2025)