Database Compression on Graphics Processors
Summary: GPU-based compression mitigates PCIe transfer bottlenecks in GPU-accelerated query co-processing. Nine GPU schemes plus a planner select optimal combinations; yields up to 45 GB/s compression, 56 GB/s decompression, partial decompression, MonetDB integration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenbin Fang (Hong Kong University of Science and Technology)
- 2. Bingsheng He (Nanyang Technological University)
- 3. Qiong Luo (Hong Kong University of Science and Technology)
BibTeX Citation
@article{fang_vldb10,
title = {{Database Compression on Graphics Processors}},
author = {Fang, Wenbin and He, Bingsheng and Luo, Qiong},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {670--681},
doi = {10.14778/1920841.1920927},
url = {https://doi.org/10.14778/1920841.1920927},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
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