Shivaram Venkataraman

◀ ▶ joint publications with Adarsh Kumar 0001

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Publications

2021
[c40]
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Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella:
Doing more by doing less: how structured partial backpropagation improves deep learning clusters. DistributedML@CoNEXT 2021: 15-21
[i24]
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  - journals/corr/abs-2101-07344
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Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Learned Caches. CoRR abs/2101.07344 (2021)
[i19]
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  - journals/corr/abs-2111-10672
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Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella:
Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters. CoRR abs/2111.10672 (2021)
2020
[i18]
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  - journals/corr/abs-2002-02645
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Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Freezing. CoRR abs/2002.02645 (2020)
2019
[c29]
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  - conf/hotcloud/KumarBVA19
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Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Freezing. HotCloud 2019

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