GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
Nikolaos Karianakis
Principal Research Manager
Publications
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
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Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Publié par Microsoft
arXiv:2012.10557
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Hyper-STAR: Task-Aware Hyperparameters for Deep Networks
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
CVPR 2020 | June 2020
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Publié par Microsoft
arXiv:2012.10557
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Hyper-STAR: Task-Aware Hyperparameters for Deep Networks
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
CVPR 2020 | June 2020
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
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Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Publié par Microsoft
arXiv:2012.10557
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan , Neil Agarwal , Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu , Ravi Netravali
USENIX NSDI | April 2023
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
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GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Arthi Padmanabhan, Neil Agarwal, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
arXiv:2201.07705 | January 2022
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Towards Memory-Efficient Inference in Edge Video Analytics
Arthi Padmanabhan, Anand Iyer, Ganesh Ananthanarayanan, Yuanchao Shu, Nikolaos Karianakis, Guoqing Harry Xu, Ravi Netravali
Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo) | October 2021
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Hyper-STAR: Task-Aware Hyperparameters for Deep Networks
Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu
CVPR 2020 | June 2020
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Publié par Microsoft
arXiv:2012.10557
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