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: 13285
Venue: VLDB
Year: 2023
Pagerank: 5.4153858e-05
Overall Rank: 8,487 | 41.78%
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
7,432	Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs	2025	VLDB	5.6199783e-05
7,591	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD	5.5900315e-05
10,541	Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization	2026	VLDB	5.093636e-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	0.00083340894
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
1,466	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	0.0001068941
1,574	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	0.00010321274
2,283	Hardware Acceleration for Spatial Selections and Joins	2003	SIGMOD	8.8099424e-05
3,134	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB	7.7231028e-05
4,535	Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects	2022	SIGMOD	6.6419266e-05
4,585	Data-Parallel Query Processing on Non-Uniform Data	2020	VLDB	6.6175897e-05
5,216	Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors	2005	SIGMOD	6.3121293e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	2,713	Robust Query Processing in Co-Processor-accelerated Databases	2016	SIGMOD
2	1,466	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD
3	1,574	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD
4	3,791	Hardware-conscious Query Processing in GPU-accelerated Analytical Engines	2019	CIDR
5	5,422	GPU Database Systems Characterization and Optimization	2024	VLDB
6	3,134	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB
7	631	Relational Joins on Graphics Processors	2008	SIGMOD
8	1,452	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD
9	7,591	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD
10	7,113	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD