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UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics

Summary: Introduces GIST, a DB operator for parallel iterative transitions over large, data-dependent states, enabling MCMC-like analytics beyond UDAs. UDA-GIST unifies data- and state-parallel processing, delivering 27× larger problems and 43× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11355
Venue
VLDB
Year
2015
Pagerank
5.4259582e-05
Overall Rank
8,432 | 42.15%
DOI
10.14778/2735479.2735488

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb15,
        title = {{UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics}},
        author = {Li, Kun and Wang, Daisy Zhe and Dobra, Alin and Dudley, Christopher},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {5},
        doi = {10.14778/2735479.2735488},
        url = {https://doi.org/10.14778/2735479.2735488},
        year = {2015}
}

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