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)
Incoming Non-self Citations Over Time
Authors
- 1. Amirhesam Shahvarani (Technical University of Munich)
- 2. Hans-Arno Jacobsen (Technical University of Munich)
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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