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A Hybrid B+-tree as Solution for In-Memory Indexing on CPU-GPU Heterogeneous Computing Platforms

Summary: HB+-tree: a hybrid CPU-GPU B+-tree for in-memory indexing on heterogeneous platforms, addressing GPU memory limits by jointly using CPU and GPU compute and memory. Achieves up to 240M index queries/sec, about 2.4× faster than CPU-only. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5171
Venue
SIGMOD
Year
2016
Pagerank
7.4587887e-05
Overall Rank
3,378 | 76.83%
DOI
10.1145/2882903.2882918

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{shahvarani_sigmod16,
        title = {{A Hybrid B+-tree as Solution for In-Memory Indexing on CPU-GPU Heterogeneous Computing Platforms}},
        author = {Shahvarani, Amirhesam and Jacobsen, Hans-Arno},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882918},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882918},
        year = {2016}
}

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