Zhihao Jia
Zhihao Jia
Assistant Professor of Computer Science, Carnegie Mellon University
Vahvistettu sähköpostiosoite verkkotunnuksessa cmu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Beyond data and model parallelism for deep neural networks
Z Jia, M Zaharia, A Aiken
SysML 19, 2019
1852019
Beyond data and model parallelism for deep neural networks
Z Jia, M Zaharia, A Aiken
SysML 19, 2019
1832019
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
1322012
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
962012
Exploring hidden dimensions in parallelizing convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
ICML 18, 2018
682018
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
652019
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
532017
{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
442016
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
382020
Optimizing DNN Computation With Relaxed Graph Substitutions
Z Jia, J Thomas, T Warszawski, M Gao, M Zaharia, A Aiken
SysML 2019, 2019
342019
Exploring hidden dimensions in accelerating convolutional neural networks
Z Jia, S Lin, CR Qi, A Aiken
International Conference on Machine Learning, 2274-2283, 2018
192018
Redundancy-Free Computation for Graph Neural Networks
Z Jia, S Lin, R Ying, J You, J Leskovec, A Aiken
KDD'20, 2019
13*2019
Beyond data and model parallelism for deep neural networks. CoRR abs/1807.05358 (2018)
Z Jia, M Zaharia, A Aiken
arXiv preprint arXiv:1807.05358, 2018
82018
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
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
Scaling Implicit Parallelism via Dynamic Control Replication
M Bauer, W Lee, E Slaughter, Z Jia, M Di Renzo, M Papadakis, ...
PPoPP, 2021
32021
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
22021
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
12021
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
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 …, 2021
2021
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Artikkelit 1–20