| Beyond data and model parallelism for deep neural networks Z Jia, M Zaharia, A Aiken SysML 19, 2019 | 590 | 2019 |
| TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions Z Jia, O Padon, J Thomas, T Warszawski, M Zaharia, A Aiken SOSP'19, 2019 | 313 | 2019 |
| Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc Z Jia, S Lin, M Gao, M Zaharia, A Aiken MLSys'20, 2020 | 275 | 2020 |
| Specinfer: Accelerating large language model serving with tree-based speculative inference and verification X Miao, G Oliaro, Z Zhang, X Cheng, Z Wang, Z Zhang, RYY Wong, A Zhu, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 219* | 2024 |
| Software-hardware co-design for fast and scalable training of deep learning recommendation models D Mudigere, Y Hao, J Huang, Z Jia, A Tulloch, S Sridharan, X Liu, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 172* | 2022 |
| Dorylus: Affordable, scalable, and accurate {GNN} training with distributed {CPU} servers and serverless threads J Thorpe, Y Qiao, J Eyolfson, S Teng, G Hu, Z Jia, J Wei, K Vora, ... 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2021 | 164 | 2021 |
| Improving integer security for systems with {KINT} X Wang, H Chen, Z Jia, N Zeldovich, MF Kaashoek 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2012 | 164 | 2012 |
| Exploring hidden dimensions in parallelizing convolutional neural networks Z Jia, S Lin, CR Qi, A Aiken ICML 18, 2018 | 144 | 2018 |
| Undefined behavior: what happened to my code? X Wang, H Chen, A Cheung, Z Jia, N Zeldovich, MF Kaashoek Proceedings of the Asia-Pacific Workshop on Systems, 1-7, 2012 | 131 | 2012 |
| Bond: Benchmarking unsupervised outlier node detection on static attributed graphs K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ... Advances in Neural Information Processing Systems 35, 27021-27035, 2022 | 105 | 2022 |
| Redundancy-Free Computation for Graph Neural Networks Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken KDD'20, 2019 | 101 | 2019 |
| Optimizing DNN Computation With Relaxed Graph Substitutions Z Jia, J Thomas, T Warszawski, M Gao, M Zaharia, A Aiken SysML 2019, 2019 | 96 | 2019 |
| A distributed multi-gpu system for fast graph processing Z Jia, Y Kwon, G Shipman, P McCormick, M Erez, A Aiken Proceedings of the VLDB Endowment 11 (3), 297-310, 2017 | 94 | 2017 |
| Unity: Accelerating {DNN} training through joint optimization of algebraic transformations and parallelization C Unger, Z Jia, W Wu, S Lin, M Baines, CEQ Narvaez, V Ramakrishnaiah, ... 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022 | 93 | 2022 |
| TopoOpt: Optimizing the Network Topology for Distributed DNN Training W Wang, M Khazraee, Z Zhong, Z Jia, D Mudigere, Y Zhang, A Kewitsch, ... arXiv preprint arXiv:2202.00433, 2022 | 92* | 2022 |
| Towards efficient generative large language model serving: A survey from algorithms to systems X Miao, G Oliaro, Z Zhang, X Cheng, H Jin, T Chen, Z Jia arXiv preprint arXiv:2312.15234, 2023 | 76 | 2023 |
| {PET}: Optimizing tensor programs with partially equivalent transformations and automated corrections H Wang, J Zhai, M Gao, Z Ma, S Tang, L Zheng, Y Li, K Rong, Y Chen, ... 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2021 | 76 | 2021 |
| Ios: Inter-operator scheduler for cnn acceleration Y Ding, L Zhu, Z Jia, G Pekhimenko, S Han Proceedings of Machine Learning and Systems 3, 167-180, 2021 | 74 | 2021 |
| Bamboo: Making preemptible instances resilient for affordable training of large {DNNs} J Thorpe, P Zhao, J Eyolfson, Y Qiao, Z Jia, M Zhang, R Netravali, GH Xu 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 63 | 2023 |
| Quartz: superoptimization of quantum circuits M Xu, Z Li, O Padon, S Lin, J Pointing, A Hirth, H Ma, J Palsberg, A Aiken, ... Proceedings of the 43rd ACM SIGPLAN International Conference on Programming …, 2022 | 60 | 2022 |
Alex AikenProfessor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
