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OLLIE: Derivation-based Tensor Program Optimizer


Aug 02, 2022
Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia


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Benchmarking Node Outlier Detection on Graphs


Jun 21, 2022
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu

* Preprint. Under review. Benchmark available at https://github.com/pygod-team/pygod/tree/main/benchmark 

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Optimizing Mixture of Experts using Dynamic Recompilations


May 04, 2022
Ferdinand Kossmann, Zhihao Jia, Alex Aiken

* 13 pages, 15 figures 

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PyGOD: A Python Library for Graph Outlier Detection


Apr 26, 2022
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu


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Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs


Apr 26, 2022
John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Guoqing Harry Xu

* 17 pages 

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Collage: Automated Integration of Deep Learning Backends


Nov 01, 2021
Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia


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TOD: Tensor-based Outlier Detection


Oct 26, 2021
Yue Zhao, George H. Chen, Zhihao Jia

* Code available at https://github.com/yzhao062/pytod 

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GradSign: Model Performance Inference with Theoretical Insights


Oct 16, 2021
Zhihao Zhang, Zhihao Jia

* Preprint. Under review 

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Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads


May 25, 2021
John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu

* Paper accepted in OSDI 2021 

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IOS: Inter-Operator Scheduler for CNN Acceleration


Nov 02, 2020
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han


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