Gpunfv: a gpu-accelerated nfv system X Yi, J Duan, C Wu Proceedings of the First Asia-Pacific Workshop on Networking, 85-91, 2017 | 39 | 2017 |
Oneflow: Redesign the distributed deep learning framework from scratch J Yuan, X Li, C Cheng, J Liu, R Guo, S Cai, C Yao, F Yang, X Yi, C Wu, ... arXiv preprint arXiv:2110.15032, 2021 | 34 | 2021 |
Optimizing distributed training deployment in heterogeneous GPU clusters X Yi, S Zhang, Z Luo, G Long, L Diao, C Wu, Z Zheng, J Yang, W Lin Proceedings of the 16th International Conference on emerging Networking …, 2020 | 26 | 2020 |
Fast training of deep learning models over multiple gpus X Yi, Z Luo, C Meng, M Wang, G Long, C Wu, J Yang, W Lin Proceedings of the 21st International middleware conference, 105-118, 2020 | 17 | 2020 |
NFVactor: A Resilient NFV System Using the Distributed Actor Model J Duan, X Yi, S Zhao, C Wu, H Cui, F Le IEEE Journal on Selected Areas in Communications 37 (3), 586-599, 2019 | 15 | 2019 |
Efficient pipeline planning for expedited distributed dnn training Z Luo, X Yi, G Long, S Fan, C Wu, J Yang, W Lin IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 340-349, 2022 | 13 | 2022 |
FlowShader: A generalized framework for GPU-accelerated VNF flow processing X Yi, J Wang, J Duan, W Bai, C Wu, Y Xiong, D Han 2019 IEEE 27th International Conference on Network Protocols (ICNP), 1-12, 2019 | 10 | 2019 |
NetStar: A Future/Promise Framework for Asynchronous Network Functions J Duan, X Yi, J Wang, C Wu, F Le IEEE Journal on Selected Areas in Communications 37 (3), 600-612, 2019 | 10 | 2019 |
Circularcache: Scalable and adaptive cache management for massive storage systems L Liu, X Qu, Y Zhang, X Yi, S Zeng, J Wan, C Xie 2016 IEEE International Conference on Networking, Architecture and Storage …, 2016 | 5 | 2016 |
Expediting distributed DNN training with device topology-aware graph deployment S Zhang, X Yi, L Diao, C Wu, S Wang, W Lin IEEE Transactions on Parallel and Distributed Systems 34 (4), 1281-1293, 2023 | 4 | 2023 |
Optimizing DNN compilation for distributed training with joint OP and tensor fusion X Yi, S Zhang, L Diao, C Wu, Z Zheng, S Fan, S Wang, J Yang, W Lin IEEE Transactions on Parallel and Distributed Systems 33 (12), 4694-4706, 2022 | 4 | 2022 |