| Sgap: towards efficient sparse tensor algebra compilation for GPU G Zhang, Y Zhao, Y Tao, Z Yu, G Dai, S Huang, Y Wen, P Petoumenos, ... CCF Transactions on High Performance Computing, 1-18, 2023 | 4 | 2023 |
| Hypergef: A framework enabling efficient fusion for hypergraph neural network on gpus Z Yu, G Dai, S Yang, G Zhang, H Zhang, F Zhu, J Yang, J Zhao, Y Wang Proceedings of Machine Learning and Systems 5, 387-399, 2023 | 3 | 2023 |
| Learning to (Learn at Test Time): RNNs with Expressive Hidden States Y Sun, X Li, K Dalal, J Xu, A Vikram, G Zhang, Y Dubois, X Chen, X Wang, ... arXiv preprint arXiv:2407.04620, 2024 | 1 | 2024 |
| FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning K Zhong, Z Zhu, G Dai, H Wang, X Yang, H Zhang, J Si, Q Mao, S Zeng, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 1 | 2024 |
| CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models JY Lee, D Lee, G Zhang, M Tiwari, A Mirhoseini arXiv preprint arXiv:2404.08763, 2024 | 1 | 2024 |
| Canvas: End-to-End Kernel Architecture Search in Neural Networks C Zhao, G Zhang, M Gao arXiv preprint arXiv:2304.07741, 2023 | 1 | 2023 |
| MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression T Fu, H Huang, X Ning, G Zhang, B Chen, T Wu, H Wang, Z Huang, S Li, ... arXiv preprint arXiv:2406.14909, 2024 | | 2024 |
| Compilation of Modular and General Sparse Workspaces G Zhang, O Hsu, F Kjolstad Proceedings of the ACM on Programming Languages 8 (PLDI), 1213-1238, 2024 | | 2024 |
| GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU Z Yu, G Zhang, H Huang, X Chen, J Zhao arXiv preprint arXiv:2404.03019, 2024 | | 2024 |
