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Zhihao Jia
Zhihao Jia
Assistant Professor of Computer Science, Carnegie Mellon University
Verified email at cmu.edu - Homepage
Title
Cited by
Cited by
Year
Beyond data and model parallelism for deep neural networks
Z Jia, M Zaharia, A Aiken
SysML 19, 2019
4222019
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
2192019
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
1732020
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
1552012
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
1242012
Exploring hidden dimensions in parallelizing convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
ICML 18, 2018
1172018
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
902021
Optimizing DNN Computation With Relaxed Graph Substitutions
Z Jia, J Thomas, T Warszawski, M Gao, M Zaharia, A Aiken
SysML 2019, 2019
782019
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
782017
Redundancy-Free Computation for Graph Neural Networks
Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken
KDD'20, 2019
712019
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
582022
{SLIK}: Scalable {Low-Latency} Indexes for a {Key-Value} Store
A Kejriwal, A Gopalan, A Gupta, Z Jia, S Yang, J Ousterhout
2016 USENIX Annual Technical Conference (USENIX ATC 16), 57-70, 2016
552016
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
452021
{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
432021
Exploring hidden dimensions in accelerating convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
International Conference on Machine Learning, 2274-2283, 2018
422018
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
402022
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
352022
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
242022
Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, and Vijay Rao. 2021. Software-Hardware Co-design …
D Mudigere, Y Hao, J Huang, Z Jia, A Tulloch, S Sridharan, X Liu, ...
arXiv preprint arXiv:2104.05158, 2022
242022
Pygod: A python library for graph outlier detection
K Liu, Y Dou, Y Zhao, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
arXiv preprint arXiv:2204.12095, 2022
202022
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Articles 1–20