GPUQP: Query Co-Processing Using Graphics Processors

Summary: GPUQP enables CPU-GPU in-memory query co-processing for relational workloads, accelerating core operators and joins with GPUs. It analyzes GPU programming models (graphics APIs and GPGPU) and reports processing flows and performance for heavy constructs like tree indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3992
Venue: SIGMOD
Year: 2007
Pagerank: 5.6985502e-05
Overall Rank: 7,113 | 51.20%
DOI: 10.1145/1247480.1247606

Incoming Non-self Citations Over Time

Authors

1. Rui Fang (Hong Kong University of Science and Technology)
2. Bingsheng He (Hong Kong University of Science and Technology)
3. Mian Lu (Hong Kong University of Science and Technology)
4. Ke Yang (Hong Kong University of Science and Technology)
5. Naga K. Govindaraju (Microsoft)
6. Qiong Luo (Hong Kong University of Science and Technology)
7. Pedro V. Sander (Hong Kong University of Science and Technology)

BibTeX Citation

@inproceedings{fang_sigmod07,
        title = {{GPUQP: Query Co-Processing Using Graphics Processors}},
        author = {Fang, Rui and He, Bingsheng and Lu, Mian and Yang, Ke and Govindaraju, Naga K. and Luo, Qiong and Sander, Pedro V.},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247606},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247606},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,890	GaccO - A GPU-accelerated OLTP DBMS	2022	SIGMOD	7.0435206e-05
5,778	GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP	2024	SIGMOD	6.0918646e-05
5,807	Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs	2021	VLDB	6.0805143e-05
6,065	Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics	2025	VLDB	5.9895288e-05
7,432	Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs	2025	VLDB	5.6199783e-05
11,231	Accelerating Merkle Patricia Trie with GPU	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
204	Cache Conscious Indexing for Decision-Support in Main Memory	1999	VLDB	0.00025342994
305	GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management	2006	SIGMOD	0.00021872796
631	Relational Joins on Graphics Processors	2008	SIGMOD	0.00015591241
1,452	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD	0.00010745803
2,283	Hardware Acceleration for Spatial Selections and Joins	2003	SIGMOD	8.8099424e-05
5,216	Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors	2005	SIGMOD	6.3121293e-05
5,254	Query Co-Processing on Commodity Processors	2006	VLDB	6.298429e-05

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10	8,487	A Case for Graphics-driven Query Processing	2023	VLDB