Zhihao Jia
Zhihao Jia
Assistant Professor, 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
1522019
Beyond data and model parallelism for deep neural networks
Z Jia, M Zaharia, A Aiken
SysML 19, 2019
1512019
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 …, 2012
1232012
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
932012
Exploring hidden dimensions in parallelizing convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
ICML 18, 2018
532018
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
462017
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
452019
{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
392016
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
262020
Optimizing DNN Computation With Relaxed Graph Substitutions
Z Jia, J Thomas, T Warszawski, M Gao, M Zaharia, A Aiken
SysML 2019, 2019
252019
Exploring hidden dimensions in accelerating convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
International Conference on Machine Learning, 2274-2283, 2018
162018
Automatic and transparent I/O optimization with storage integrated application runtime support
N Watkins, Z Jia, G Shipman, C Maltzahn, A Aiken, P McCormick
Proceedings of the 10th Parallel Data Storage Workshop, 49-54, 2015
82015
Redundancy-Free Computation for Graph Neural Networks
Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken
KDD'20, 2019
7*2019
Integrating External Resources with a Task-Based Programming Model
Z Jia, S Treichler, G Shipman, M Bauer, N Watkins, C Maltzahn, ...
2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017
42017
Dorylus: Affordable, Scalable, and Accurate GNN Training over Billion-Edge Graphs
J Thorpe, Y Qiao, J Eyolfson, S Teng, G Hu, Z Jia, J Wei, K Vora, ...
arXiv preprint arXiv:2105.11118, 2021
12021
Ios: Inter-operator scheduler for cnn acceleration
Y Ding, L Zhu, Z Jia, G Pekhimenko, S Han
Proceedings of Machine Learning and Systems 3, 2021
12021
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, ...
arXiv e-prints, arXiv: 2105.11118, 2021
2021
Scaling Implicit Parallelism via Dynamic Control Replication
M Bauer, W Lee, E Slaughter, Z Jia, M Di Renzo, M Papadakis, ...
PPoPP, 2021
2021
Automated Discovery of Machine Learning Optimizations
Z Jia
PQDT-Global, 2020
2020
Accelerate DNN Inference By Inter-Operator Parallelization
Y Ding, L Zhu, Z Jia, S Han
2019
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Articles 1–20