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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
4022019
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
2022019
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
1652020
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
1532012
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
1212012
Exploring hidden dimensions in parallelizing convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
ICML 18, 2018
1132018
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
812021
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
Optimizing DNN Computation With Relaxed Graph Substitutions
Z Jia, J Thomas, T Warszawski, M Gao, M Zaharia, A Aiken
SysML 2019, 2019
732019
Redundancy-Free Computation for Graph Neural Networks
Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken
KDD'20, 2019
692019
{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
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
432022
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
432021
{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
412021
Exploring hidden dimensions in accelerating convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
International Conference on Machine Learning, 2274-2283, 2018
402018
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
372022
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
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
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
192022
Scaling Implicit Parallelism via Dynamic Control Replication
M Bauer, W Lee, E Slaughter, Z Jia, M Di Renzo, M Papadakis, ...
PPoPP, 2021
182021
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Articles 1–20