| Layerweaver: Maximizing resource utilization of neural processing units via layer-wise scheduling YH Oh, S Kim, Y Jin, S Son, J Bae, J Lee, Y Park, DU Kim, TJ Ham, ... 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 37 | 2021 |
| {FlashNeuron}:{SSD-Enabled}{Large-Batch} Training of Very Deep Neural Networks J Bae, J Lee, Y Jin, S Son, S Kim, H Jang, TJ Ham, JW Lee 19th USENIX Conference on File and Storage Technologies (FAST 21), 387-401, 2021 | 37 | 2021 |
| {ASAP}: Fast mobile application switch via adaptive prepaging S Son, SY Lee, Y Jin, J Bae, J Jeong, TJ Ham, JW Lee, H Yoon 2021 USENIX Annual Technical Conference (USENIX ATC 21), 365-380, 2021 | 16 | 2021 |
| Ulppack: Fast sub-8-bit matrix multiply on commodity simd hardware J Won, J Si, S Son, TJ Ham, JW Lee Proceedings of Machine Learning and Systems 4, 52-63, 2022 | 11 | 2022 |
| Efficient Microsecond-scale Blind Scheduling with Tiny Quanta Z Luo, S Son, D Bali, E Amaro, A Ousterhout, S Ratnasamy, S Shenker Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
| Electronic device and method with scheduling SW Lee, OH Younghwan, J Lee, SON Sam, Y Jin, HAM Taejun US Patent App. 17/195,748, 2022 | | 2022 |
