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VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale

Summary: VISTA provides a declarative interface for feature transfer from CNNs on images, unifying scalable dataflow and deep learning systems. It auto-optimizes configuration and execution to reduce redundant computation and memory crashes, delivering 58-92% faster runtimes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5986
Venue
SIGMOD
Year
2020
Pagerank
7.2977194e-05
Overall Rank
3,573 | 75.49%
DOI
10.1145/3318464.3389709

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nakandala_sigmod20,
        title = {{VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale}},
        author = {Nakandala, Supun and Kumar, Arun},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389709},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389709},
        year = {2020}
}

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