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CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment

Apr 26, 2021
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov

* Published as a conference paper at ICLR 2021 

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HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units

Aug 10, 2020
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov

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HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

Jan 08, 2020
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov

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The OoO VLIW JIT Compiler for GPU Inference

Jan 31, 2019
Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica

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Ray: A Distributed Framework for Emerging AI Applications

Sep 30, 2018
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica

* 17 pages, 14 figures, 13th USENIX Symposium on Operating Systems Design and Implementation, 2018 

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IDK Cascades: Fast Deep Learning by Learning not to Overthink

Jun 27, 2018
Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez

* UAI 2018 camera ready 

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Real-Time Machine Learning: The Missing Pieces

May 19, 2017
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica

* 6 pages, 3 figures 

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