| 2023 | Middleware | Fast, Light-weight, and Accurate Performance Evaluation using Representative Datacenter Behaviors. | Jaewon Lee, Dongmoon Min, Ilkwon Byun, Hanhwi Jang, Jangwoo Kim |
| 2022 | ISCA | GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. | Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim |
| 2019 | ISCA | MnnFast: a fast and scalable system architecture for memory-augmented neural networks. | Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim |
| 2018 | MICRO | RpStacks-MT: A High-Throughput Design Evaluation Methodology for Multi-Core Processors. | Hanhwi Jang, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim |
| 2017 | ISPASS | StressRight: Finding the right stress for accurate in-development system evaluation. | Jaewon Lee, Hanhwi Jang, Jae-Eon Jo, Gyu-hyeon Lee, Jangwoo Kim |
| 2017 | MICRO | GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution. | Youngsok Kim, Jae-Eon Jo, Hanhwi Jang, Minsoo Rhu, Hanjun Kim, Jangwoo Kim |
| 2014 | MICRO | RpStacks: Fast and Accurate Processor Design Space Exploration Using Representative Stall-Event Stacks. | Jaewon Lee, Hanhwi Jang, Jangwoo Kim |