Jiacheng Zhao
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
赵家程, 崔慧敏, 冯晓兵
软件学报 24 (11), 2558-2570, 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
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
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
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
Method and device for determining program performance interference model
H Cui, J Zhao, X Feng
US Patent 10,430,312, 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
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