| 2020 | ISCA | Near Data Acceleration with Concurrent Host Access. | Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez |
| 2020 | MICRO | BranchNet: A Convolutional Neural Network to Predict Hard-To-Predict Branches. | Siavash Zangeneh, Stephen Pruett, Sangkug Lym, Yale N. Patt |
| 2019 | ISPASS | DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. | Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez |
| 2019 | SC | PruneTrain: fast neural network training by dynamic sparse model reconfiguration. | Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez |
| 2018 | DSN | Hamartia: A Fast and Accurate Error Injection Framework. | Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez |
| 2018 | HPCA | DUO: Exposing On-Chip Redundancy to Rank-Level ECC for High Reliability. | Seong-Lyong Gong, Jungrae Kim, Sangkug Lym, Michael B. Sullivan, Howard David, Mattan Erez |
| 2018 | HPCA | ERUCA: Efficient DRAM Resource Utilization and Resource Conflict Avoidance for Memory System Parallelism. | Sangkug Lym, Heonjae Ha, Yongkee Kwon, Chun-Kai Chang, Jungrae Kim, Mattan Erez |
| 2018 | SC | Evaluating and accelerating high-fidelity error injection for HPC. | Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez |
| 2016 | ISCA | All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory. | Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez |