Fast distributed inference serving for large language models B Wu, Y Zhong, Z Zhang, G Huang, X Liu, X Jin arXiv preprint arXiv:2305.05920, 2023 | 16 | 2023 |
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 | 10 | 2023 |
Ditto: Efficient serverless analytics with elastic parallelism C Jin, Z Zhang, X Xiang, S Zou, G Huang, X Liu, X Jin Proceedings of the ACM SIGCOMM 2023 Conference, 406-419, 2023 | 1 | 2023 |
Fast, Approximate Vector Queries on Very Large Unstructured Datasets Z Zhang, C Jin, L Tang, X Liu, X Jin 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 1 | 2023 |
Optimizing half precision Winograd convolution on ARM many-core processors D Xie, Z Jia, Z Zhang, X Jin Proceedings of the 13th ACM SIGOPS Asia-Pacific Workshop on Systems, 53-60, 2022 | 1 | 2022 |
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective X Liu, D Gu, Z Chen, J Wen, Z Zhang, Y Ma, H Wang, X Jin ACM Transactions on Software Engineering and Methodology 32 (6), 1-26, 2023 | | 2023 |