| Understanding and bridging the gaps in current GNN performance optimizations K Huang, J Zhai, Z Zheng, Y Yi, X Shen Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021 | 70 | 2021 |
| ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training K Huang, H Jiang, M Wang, G Xiao, D Wipf, X Song, Q Gan, Z Huang, ... arXiv preprint arXiv:2301.07482, 2023 | 6 | 2023 |
| {EINNET}: Optimizing Tensor Programs with {Derivation-Based} Transformations L Zheng, H Wang, J Zhai, M Hu, Z Ma, T Wang, S Huang, X Miao, S Tang, ... 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2023 | 4 | 2023 |
| OLLIE: Derivation-based Tensor Program Optimizer L Zheng, H Wang, J Zhai, M Hu, Z Ma, T Wang, S Tang, L Xie, K Huang, ... arXiv preprint arXiv:2208.02025, 2022 | 2 | 2022 |
| Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From Tsinghua University C Zhang, C Zhao, J He, S Chen, L Zheng, K Huang, W Han, J Zhai IEEE Transactions on Parallel and Distributed Systems 32 (11), 2631-2634, 2021 | 2 | 2021 |
| PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR Z Ma, H Wang, J Xing, L Zheng, C Zhang, H Cao, K Huang, S Tang, ... arXiv preprint arXiv:2307.04995, 2023 | 1 | 2023 |
| Comprehensive Framework of RDMA-enabled Concurrency Control Protocols C Wang, K Huang, X Qian arXiv preprint arXiv:2002.12664, 2020 | 1 | 2020 |
| WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations K Huang, J Zhai, L Zheng, H Wang, Y Jin, Q Zhang, R Zhang, Z Zheng, ... Proceedings of the Nineteenth European Conference on Computer Systems, 1-17, 2024 | | 2024 |
| FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training K Huang, H Jiang, M Wang, G Xiao, D Wipf, X Song, Q Gan, Z Huang, ... Proceedings of the VLDB Endowment 17 (6), 1473-1486, 2024 | | 2024 |
| PUZZLE: Efficiently Aligning Large Language Models through Light-Weight Context Switch K Lei, M Zhai, Y Jin, K Huang, H Ye, J Zhai | | |
