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OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures

Summary: OmniDB proposes a kernel-adapter design for portable query processing on parallel CPU/GPU architectures. A unified qKernel captures core parallelization; architecture adapters expose hardware, enabling cross-architecture portability with reduced effort. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10806
Venue
VLDB
Year
2013
Pagerank
6.6789258e-05
Overall Rank
4,478 | 69.28%
DOI
10.14778/2536274.2536319

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb13,
        title = {{OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures}},
        author = {Zhang, Shuhao and He, Jiong and He, Bingsheng and Lu, Mian},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {12},
        pages = {1374--1377},
        doi = {10.14778/2536274.2536319},
        url = {https://doi.org/10.14778/2536274.2536319},
        year = {2013}
}

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