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On-the-fly Data Transformation in Action

Summary: Relational Memory uses specialized hardware to turn a base row table into arbitrary column groups at query time, bridging OLTP and OLAP without duplicating data. Implemented on Xilinx Zynq UltraScale+ MPSoC and demoed in four scenarios, it maximizes cache locality and provides a transparent abstraction for on‑the‑fly layout transformation. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13425
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,477 | 21.26%
DOI
10.14778/3611540.3611593

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Authors

BibTeX Citation

@article{mun_vldb23,
        title = {{On-the-fly Data Transformation in Action}},
        author = {Mun, Ju Hyoung and Karatsenidis, Konstantinos and Papon, Tarikul Islam and Roozkhosh, Shahin and Hoornaert, Denis and Drepper, Ulrich and Sanaullah, Ahmed and Mancuso, Renato and Athanassoulis, Manos},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3950--3953},
        doi = {10.14778/3611540.3611593},
        url = {https://doi.org/10.14778/3611540.3611593},
        year = {2023}
}

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

Rank Cited Paper Year Venue Pagerank
1,199 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011703966
1,312 Hybrid Transactional/Analytical Processing: A Survey 2017 SIGMOD 0.00011193166
1,367 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00011014419
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