A Case for Graphics-driven Query Processing

Summary: Recasts GPU query processing around the graphics pipeline rather than hand-tuned compute kernels, using Vulkan primitives for Join and GroupBy. Delivers driver-managed hardware portability and auto-tuning, with typically ~2× speedups on hybrid platforms. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h7651a67df597def3
Venue: VLDB
Year: 2023
Pagerank: 5.3062403e-05
Overall Rank: 8,595 | 42.22%
DOI: 10.14778/3603581.3603590

Incoming Non-self Citations Over Time

Authors

1. Harish Doraiswamy (Microsoft)
2. Vikas Kalagi (Microsoft)
3. Karthik Ramachandra (Microsoft Azure Data India)
4. Jayant R. Haritsa (Indian Institute of Science)

BibTeX Citation

@article{doraiswamy_vldb23,
        title = {{A Case for Graphics-driven Query Processing}},
        author = {Doraiswamy, Harish and Kalagi, Vikas and Ramachandra, Karthik and Haritsa, Jayant R.},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {10},
        pages = {2499--2511},
        doi = {10.14778/3603581.3603590},
        url = {https://doi.org/10.14778/3603581.3603590},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,151	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD	5.8697699e-05
6,667	Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs	2025	VLDB	5.7152948e-05
10,723	Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization	2026	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
7	Implementation Techniques For Main Memory Database Systems	1984	SIGMOD	0.00081992507
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
1,268	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	0.0001126007
1,454	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD	0.00010601431
1,533	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	0.00010332035
2,319	Hardware Acceleration for Spatial Selections and Joins	2003	SIGMOD	8.6460188e-05
2,886	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB	7.9081605e-05
3,626	Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects	2022	SIGMOD	7.1524537e-05
3,961	Data-Parallel Query Processing on Non-Uniform Data	2020	VLDB	6.8948667e-05
5,327	Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors	2005	SIGMOD	6.1783009e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	2,600	Robust Query Processing in Co-Processor-accelerated Databases	2016	SIGMOD
2	1,533	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD
3	10,830	Bridging the Indexing Gap in Fused GPU Query Engines	2026	VLDB
4	3,773	Hardware-conscious Query Processing in GPU-accelerated Analytical Engines	2019	CIDR
5	4,480	GPU Database Systems Characterization and Optimization	2024	VLDB
6	2,886	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB
7	616	Relational Joins on Graphics Processors	2008	SIGMOD
8	1,454	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD
9	6,151	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD
10	7,188	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD