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GpJSON: High-performance JSON Data Processing on GPUs

Summary: GpJSON parallelizes JSON structural indexing, deserialization, and in-situ querying on GPUs via a lightweight query engine. On an NVIDIA A100, it delivers 2.9× end-to-end speedups over state-of-the-art systems and 6–8× over RAPIDS. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14142
Venue
VLDB
Year
2025
Pagerank
5.1826377e-05
Overall Rank
9,989 | 31.47%
DOI
10.14778/3746405.3746439

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{talluri_vldb25,
        title = {{GpJSON: High-performance JSON Data Processing on GPUs}},
        author = {Talluri, Sacheendra and Di Donato, Guido Walter and Danelutti, Luca and Vlaswinkel, Koen R. and Arnaboldi, Marco and Delamare, Arnaud and Santambrogio, Marco D. and Bonetta, Daniele},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {9},
        pages = {3216--3229},
        doi = {10.14778/3746405.3746439},
        url = {https://doi.org/10.14778/3746405.3746439},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
7,959 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.5181056e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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