| PreScaler: An efficient system-aware precision scaling framework on heterogeneous systems S Kang, K Choi, Y Park Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020 | 4 | 2020 |
| A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP paper) Y Yu, S Kang, Y Park Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on …, 2019 | 3 | 2019 |
| Resource-aware device allocation of data-parallel applications on heterogeneous systems D Kim, S Kang, J Lim, S Jung, W Kim, Y Park Electronics 9 (11), 1825, 2020 | 1 | 2020 |
| GATE: A generalized dataflow-level approximation tuning engine for data parallel architectures S Kang, Y Yu, J Kim, Y Park Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 1 | 2019 |
| Method for optimizing performance of algorithm using precision scaling P Yongjun, S Kang, SW Kim, HK Bae, JS Yu, K Choi US Patent 11,537,395, 2022 | | 2022 |
| A collaborative cpu vector offloader: Putting idle vector resources to work on commodity processors Y Son, S Kang, H Um, S Lee, J Ham, D Kim, Y Park Electronics 10 (23), 2960, 2021 | | 2021 |
| Precision Switching for Efficient Matrix Factorization in Recommender Systems JS Yu, YY Ko, HK Bae, S Kang, Y Yu, Y Park, SW Kim Proceedings of the Korea Information Processing Society Conference, 314-315, 2021 | | 2021 |
| 랜덤워크 기법을 위한 GPU 기반 희소행렬 벡터 곱셈 방안에 대한 성능 평가 유재서， 배홍균， 강석원， 유용승， 박영준， 김상욱 한국정보처리학회 학술대회논문집 27 (2), 96-97, 2020 | | 2020 |
| Runtime Profiling of OpenCL Workloads Using LLVM-based Code Instrumentation Y Yu, S Kang, Y Park TENCON 2018-2018 IEEE Region 10 Conference, 1520-1524, 2018 | | 2018 |
