PaGraph: Scaling GNN training on large graphs via computation-aware caching Z Lin, C Li, Y Miao, Y Liu, Y Xu Proceedings of the 11th ACM Symposium on Cloud Computing, 401-415, 2020 | 125 | 2020 |
Occlumency: Privacy-preserving remote deep-learning inference using SGX T Lee, Z Lin, S Pushp, C Li, Y Liu, Y Lee, F Xu, C Xu, L Zhang, J Song The 25th Annual International Conference on Mobile Computing and Networking …, 2019 | 108 | 2019 |
Flexible high-resolution object detection on edge devices with tunable latency S Jiang, Z Lin, Y Li, Y Shu, Y Liu Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 62 | 2021 |
Efficient data loader for fast sampling-based gnn training on large graphs Y Bai, C Li, Z Lin, Y Wu, Y Miao, Y Liu, Y Xu IEEE Transactions on Parallel and Distributed Systems 32 (10), 2541-2556, 2021 | 27 | 2021 |
Accelerating gnn training with locality-aware partial execution T Kim, C Hwang, KS Park, Z Lin, P Cheng, Y Miao, L Ma, Y Xiong Proceedings of the 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 34-41, 2021 | 10 | 2021 |
Superscaler: Supporting flexible dnn parallelization via a unified abstraction Z Lin, Y Miao, G Liu, X Shi, Q Zhang, F Yang, S Maleki, Y Zhu, X Cao, C Li, ... arXiv preprint arXiv:2301.08984, 2023 | 3 | 2023 |
Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation G Liu, Y Miao, Z Lin, X Shi, S Maleki, F Yang, Y Bao, S Wang Proceedings of the Nineteenth European Conference on Computer Systems, 163-181, 2024 | | 2024 |
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search Z Lin, Y Miao, G Xu, C Li, O Saarikivi, S Maleki, F Yang 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | | 2024 |