PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development
Summary: Declarative, DB-style optimization for staging large-scale distributed computations. PC object model with a custom memory-management layer (JVM-free), enabling high-performance development of reusable data-intensive tools and libraries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jia Zou (Rice University)
- 2. R. Matthew Barnett (Rice University)
- 3. Tania Lorido-Botran (Rice University; University of Deusto)
- 4. Shangyu Luo (Rice University)
- 5. Carlos Monroy (Rice University)
- 6. Sourav Sikdar (Rice University)
- 7. Kia Teymourian (Boston University; Rice University)
- 8. Binhang Yuan (Rice University)
- 9. Chris Jermaine (Rice University)
BibTeX Citation
@inproceedings{zou_sigmod18,
title = {{PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development}},
author = {Zou, Jia and Barnett, R. Matthew and Lorido-Botran, Tania and Luo, Shangyu and Monroy, Carlos and Sikdar, Sourav and Teymourian, Kia and Yuan, Binhang and Jermaine, Chris},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3196933},
url = {https://dl.acm.org/doi/10.1145/3183713.3196933},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
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