| An empirical model for predicting cross-core performance interference on multicore processors J Zhao, X Feng, H Cui, Y Yan, J Xue, W Yang Proceedings of the 22nd international conference on Parallel architectures …, 2013 | 50 | 2013 |
| Predicting cross-core performance interference on multicore processors with regression analysis J Zhao, H Cui, J Xue, X Feng IEEE Transactions on Parallel and Distributed Systems 27 (5), 1443-1456, 2015 | 37 | 2015 |
| DNNTune: Automatic benchmarking DNN models for mobile-cloud computing C Xia, J Zhao, H Cui, X Feng, J Xue ACM Transactions on Architecture and Code Optimization (TACO) 16 (4), 1-26, 2019 | 32 | 2019 |
| Hadoop+ modeling and evaluating the heterogeneity for mapreduce applications in heterogeneous clusters W He, H Cui, B Lu, J Zhao, S Li, G Ruan, J Xue, X Feng, W Yang, Y Yan Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015 | 27 | 2015 |
| Characterizing DNN models for edge-cloud computing C Xia, J Zhao, H Cui, X Feng 2018 IEEE International Symposium on Workload Characterization (IISWC), 82-83, 2018 | 12 | 2018 |
| Revisiting loop tiling for datacenters: live and let live J Zhao, H Cui, Y Zhang, J Xue, X Feng Proceedings of the 2018 International Conference on Supercomputing, 328-340, 2018 | 10 | 2018 |
| Unified holistic memory management supporting multiple big data processing frameworks over hybrid memories L Chen, J Zhao, C Wang, T Cao, J Zigman, H Volos, O Mutlu, F Lv, X Feng, ... ACM Transactions on Computer Systems (TOCS) 39 (1-4), 1-38, 2022 | 7 | 2022 |
| Honeycomb: Secure and Efficient {GPU} Executions via Static Validation H Mai, J Zhao, H Zheng, Y Zhao, Z Liu, M Gao, C Wang, H Cui, X Feng, ... 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2023 | 6 | 2023 |
| On retargeting the ai programming framework to new hardwares J Zhao, Y Chang, D Li, C Xia, H Cui, K Zhang, X Feng Network and Parallel Computing: 15th IFIP WG 10.3 International Conference …, 2018 | 6 | 2018 |
| SIRIUS: Harvesting Whole-Program Optimization Opportunities for DNNs Y Li, J Zhao, S Qianqi, H Mai, L Chen, W Cao, Y Chen, Y LIU, X Zhang, ... Proceedings of Machine Learning and Systems 5, 2023 | 2 | 2023 |
| 基于统计学习分析多核间性能干扰 赵家程， 崔慧敏， 冯晓兵 软件学报 24 (11), 2558-2570, 2013 | 2 | 2013 |
| Optimizing deep learning inference via global analysis and tensor expressions C Xia, J Zhao, Q Sun, Z Wang, Y Wen, T Yu, X Feng, H Cui Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 1 | 2024 |
| Enabling Large Dynamic Neural Network Training with Learning-based Memory Management J Ren, D Xu, S Yang, J Zhao, Z Li, C Navasca, C Wang, H Xu, D Li HPCA 2024, 2024 | 1 | 2024 |
| Optimizing Dynamic-Shape Neural Networks on Accelerators via On-the-Fly Micro-Kernel Polymerization F Yu, G Li, J Zhao, H Cui, X Feng, J Xue Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
| PosFuzz: augmenting greybox fuzzing with effective position distribution Y Zou, W Zou, JC Zhao, N Zhong, Y Zhang, J Shi, W Huo Cybersecurity 6 (1), 11, 2023 | | 2023 |
| VTensor: Using Virtual Tensors to Build a Layout-Oblivious AI Programming Framework F Yu, J Zhao, H Cui, X Feng, J Xue Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | | 2020 |
| Method and device for determining program performance interference model H Cui, J Zhao, X Feng US Patent 10,430,312, 2019 | | 2019 |
| 数据中心中 DVFS 对程序性能影响模型的设计 李登辉， 赵家程， 崔慧敏， 冯晓兵 软件学报 28 (4), 845-859, 2017 | | 2017 |
