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Fast Computation of Database Operations using Graphics Processors

Summary: GPU-accelerated algorithms for conjunctive selections, aggregations, and semi-linear queries on commodity GPUs using SIMD and pipelining. No data rearrangements; implemented on GeForce FX 5900 for up to 1M records; outperforms CPU implementations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h68abe14e442bb022
Venue
SIGMOD
Year
2004
Pagerank
0.00010601431
Overall Rank
1,454 | 90.23%
DOI
10.1145/1007568.1007594

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{govindaraju_sigmod04,
        title = {{Fast Computation of Database Operations using Graphics Processors}},
        author = {Govindaraju, Naga K. and Lloyd, Brandon and Wang, Wei and Lin, Ming and Manocha, Dinesh},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007594},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007594},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank Citing Paper Year Venue Pagerank
304 GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management 2006 SIGMOD 0.00021604795
616 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015561564
626 Adaptive Aggregation on Chip Multiprocessors 2007 VLDB 0.00015473276
771 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014085862
856 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013428547
941 Data Processing on FPGAs 2009 VLDB 0.00012957405
2,185 Database Compression on Graphics Processors 2010 VLDB 8.8948351e-05
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
2,466 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4222621e-05
2,889 High-Throughput Transaction Executions on Graphics Processors 2011 VLDB 7.9070124e-05
3,200 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.5437496e-05
3,972 TCUDB: Accelerating Database with Tensor Processors 2022 SIGMOD 6.8881464e-05
5,327 Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors 2005 SIGMOD 6.1783009e-05
5,394 Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration 2016 SIGMOD 6.1497789e-05
5,467 GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons 2018 VLDB 6.119722e-05
5,958 Cheetah: Accelerating Database Queries with Switch Pruning 2020 SIGMOD 5.9338314e-05
6,154 FPGA: What's in it for a Database? 2009 SIGMOD 5.8687334e-05
7,188 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 5.5908064e-05
8,595 A Case for Graphics-driven Query Processing 2023 VLDB 5.3062403e-05
8,619 Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems 2012 VLDB 5.3016441e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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