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Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System

Summary: Modin parallelizes pandas through formal rule-based columnar, row-wise, and cell-wise decompositions, while lazily decoupling metadata from physical layout. This enables broad, scalable row/column operation support beyond Dask DataFrames and Koalas. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13134
Venue
VLDB
Year
2022
Pagerank
6.9188052e-05
Overall Rank
4,079 | 72.02%
DOI
10.14778/3494124.3494152

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{petersohn_vldb22,
        title = {{Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System}},
        author = {Petersohn, Devin and Tang, Dixin and Durrani, Rehan and Melik-Adamyan, Areg and Gonzalez, Joseph E. and Joseph, Anthony D. and Parameswaran, Aditya G.},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {3},
        pages = {739--751},
        doi = {10.14778/3494124.3494152},
        url = {https://doi.org/10.14778/3494124.3494152},
        year = {2022}
}

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