| A survey of resource-efficient llm and multimodal foundation models M Xu, W Yin, D Cai, R Yi, D Xu, Q Wang, B Wu, Y Zhao, C Yang, S Wang, ... arXiv preprint arXiv:2401.08092, 2024 | 107 | 2024 |
| Fast distributed inference serving for large language models B Wu, Y Zhong, Z Zhang, S Liu, F Liu, Y Sun, G Huang, X Liu, X Jin arXiv preprint arXiv:2305.05920, 2023 | 96 | 2023 |
| AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction S Zheng, R Chen, A Wei, Y Jin, Q Han, L Lu, B Wu, X Li, S Yan, Y Liang Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 61 | 2022 |
| Transparent {GPU} sharing in container clouds for deep learning workloads B Wu, Z Zhang, Z Bai, X Liu, X Jin 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 50 | 2023 |
| Loongserve: Efficiently serving long-context large language models with elastic sequence parallelism B Wu, S Liu, Y Zhong, P Sun, X Liu, X Jin Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles …, 2024 | 33 | 2024 |
| {dLoRA}: Dynamically orchestrating requests and adapters for {LoRA}{LLM} serving B Wu, R Zhu, Z Zhang, P Sun, X Liu, X Jin 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2024 | 17 | 2024 |
| Neoflow: A flexible framework for enabling efficient compilation for high performance dnn training S Zheng, R Chen, Y Jin, A Wei, B Wu, X Li, S Yan, Y Liang IEEE Transactions on Parallel and Distributed Systems 33 (11), 3220-3232, 2021 | 13 | 2021 |
| Xron: A hybrid elastic cloud overlay network for video conferencing at planetary scale B Wu, K Qian, B Li, Y Ma, Q Zhang, Z Jiang, J Zhao, D Cai, E Zhai, X Liu, ... Proceedings of the ACM SIGCOMM 2023 Conference, 696-709, 2023 | 7 | 2023 |
| Rlhfuse: Efficient rlhf training for large language models with inter-and intra-stage fusion Y Zhong, Z Zhang, B Wu, S Liu, Y Chen, C Wan, H Hu, L Xia, R Ming, ... arXiv preprint arXiv:2409.13221, 2024 | 5 | 2024 |
| Fast Distributed Inference Serving for Large Language Models.(2023) B Wu, Y Zhong, Z Zhang, G Huang, X Liu, X Jin arXiv preprint cs.LG/2305.05920, 2023 | 5 | 2023 |
| Optimizing RLHF Training for Large Language Models with Stage Fusion Y Zhong, Z Zhang, B Wu, S Liu, Y Chen, C Wan, H Hu, L Xia, R Ming, ... | | |
Xin JinPeking UniversityVerified email at pku.edu.cn
