Reimagining Deep Learning Systems Through the Lens of Data Systems
Summary: Recasts deep-learning model selection as multi-query execution, importing data-system optimization principles. Develops sharing, placement, data-movement, hybrid-parallelism, and semantics-aware techniques to reduce DL runtime, cost, energy, and tuning effort. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Arun Kumar (University of California San Diego)
BibTeX Citation
@article{kumar_vldb24,
title = {{Reimagining Deep Learning Systems Through the Lens of Data Systems}},
author = {Kumar, Arun},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4531--4535},
doi = {10.14778/3685800.3685914},
url = {https://doi.org/10.14778/3685800.3685914},
year = {2024}
}
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