| Exploring data analytics without decompression on embedded GPU systems Z Pan, F Zhang, Y Zhou, J Zhai, X Shen, O Mutlu, X Du IEEE Transactions on Parallel and Distributed Systems 33 (7), 1553-1568, 2021 | 31 | 2021 |
| G-TADOC: Enabling efficient GPU-based text analytics without decompression F Zhang, Z Pan, Y Zhou, J Zhai, X Shen, O Mutlu, X Du 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1679-1690, 2021 | 26 | 2021 |
| Bladedisc: Optimizing dynamic shape machine learning workloads via compiler approach Z Zheng, Z Pan, D Wang, K Zhu, W Zhao, T Guo, X Qiu, M Sun, J Bai, ... Proceedings of the ACM on Management of Data 1 (3), 1-29, 2023 | 12 | 2023 |
| Recom: A compiler approach to accelerating recommendation model inference with massive embedding columns Z Pan, Z Zheng, F Zhang, R Wu, H Liang, D Wang, X Qiu, J Bai, W Lin, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 9 | 2023 |
| G-slide: A gpu-based sub-linear deep learning engine via lsh sparsification Z Pan, F Zhang, H Li, C Zhang, X Du, D Deng IEEE Transactions on Parallel and Distributed Systems 33 (11), 3015-3027, 2021 | 7 | 2021 |
| Compressed data direct computing for chinese dataset on dcu Y Liu, F Zhang, Z Pan, X Guo, Y Hu, X Zhang, X Du CCF Transactions on High Performance Computing 6 (2), 206-220, 2024 | 4 | 2024 |
| RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules Z Pan, Z Zheng, F Zhang, B Xie, R Wu, S Smith, C Liu, O Ruwase, X Du, ... SC24: International Conference for High Performance Computing, Networking …, 2024 | 1 | 2024 |
