| Adaptive resource views for containers H Huang, J Rao, S Wu, H Jin, K Suo, X Wu Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019 | 16 | 2019 |
| Switchflow: preemptive multitasking for deep learning X Wu, J Rao, W Chen, H Huang, C Ding, H Huang Proceedings of the 22nd International Middleware Conference, 146-158, 2021 | 13 | 2021 |
| Preemptive multi-queue fair queuing Y Zhao, K Suo, X Wu, J Rao, S Wu, H Jin Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019 | 11 | 2019 |
| Towards exploiting CPU elasticity via efficient thread oversubscription H Huang, J Rao, S Wu, H Jin, H Jiang, H Che, X Wu Proceedings of the 30th International Symposium on High-Performance Parallel …, 2021 | 9 | 2021 |
| A Side-channel Attack on {HotSpot} Heap Management X Wu, K Suo, Y Zhao, J Rao 10th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 18), 2018 | 1 | 2018 |
| An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices N Dhar, B Deng, D Lo, X Wu, L Zhao, K Suo Proceedings of the 2024 ACM Southeast Conference on ZZZ, 69-76, 2024 | | 2024 |
| A Systematic Investigation of Hardware and Software in Electric Vehicular Platform K Suo, L Vu, MR Islam, N Dhar, TN Nguyen, S He, X Wu Proceedings of the 2024 ACM Southeast Conference on ZZZ, 9-17, 2024 | | 2024 |
| FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion X Wu, V Bojkovic, B Gu, K Suo, K Zou https://arxiv.org/abs/2403.18388, 2024 | | 2024 |
| ATOM: Asynchronous Training of Massive Models for Deep Learning in a Decentralized Environment X Wu, J Rao, W Chen https://arxiv.org/abs/2403.10504, 2024 | | 2024 |
