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Aurick Qiao
Aurick Qiao
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Managed communication and consistency for fast data-parallel iterative analytics
J Wei, W Dai, A Qiao, Q Ho, H Cui, GR Ganger, PB Gibbons, GA Gibson, ...
Proceedings of the Sixth ACM Symposium on Cloud Computing, 381-394, 2015
1442015
Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning
A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ...
15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021
1262021
Litz: An Elastic Framework for High-Performance Distributed Machine Learning
A Qiao, A Aghayev, W Yu, H Chen, Q Ho, GA Gibson, EP Xing
632017
Multi-pivot quicksort: Theory and experiments
S Kushagra, A López-Ortiz, A Qiao, JI Munro
2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and …, 2014
602014
Fault tolerance in iterative-convergent machine learning
A Qiao, B Aragam, B Zhang, E Xing
International Conference on Machine Learning, 5220-5230, 2019
412019
Elastic management of machine learning computing
A Qiao, Q Ho, E Xing
US Patent 10,649,806, 2020
142020
LLM360: Towards fully transparent open-source llms
Z Liu, A Qiao, W Neiswanger, H Wang, B Tan, T Tao, J Li, Y Wang, S Sun, ...
arXiv preprint arXiv:2312.06550, 2023
132023
Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling
S Jayaram Subramanya, D Arfeen, S Lin, A Qiao, Z Jia, GR Ganger
Proceedings of the 29th Symposium on Operating Systems Principles, 642-657, 2023
82023
Operating system for distributed enterprise artificial intelligence programs on data centers and the clouds
W Dai, W Yu, EP Xing, A Qiao, Q Ho
US Patent 10,782,988, 2020
72020
Scaling HDBSCAN Clustering with kNN Graph Approximation
J Jackson, A Qiao, EP Xing
22018
Elastic Machine Learning Systems with Co-adaptation
A Qiao
Carnegie Mellon University, 2021
2021
AUTODIST: ACOMPOSABLE AND AUTOMATED SYNCHRONIZATION SYSTEM FOR DISTRIBUTED DEEP LEARNING
H Zhang, P Wu, Z Deng, C Li, Q Ho, A Qiao, Z Wang, EP Xing
Training Larger Models on TensorFlow without Additional GPU
J Wei, A Qiao, A Jayarajan, G Gibson, V Vasudevan, E Xing
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