A Case for Graphics-driven Query Processing

Summary: Advocates using the GPU graphics pipeline (Vulkan) instead of custom compute kernels for query processing, leveraging graphics drivers for hardware-consciousness and vendor/architecture agnosticism. Demonstrates Join and GroupBy implementations with ~2× speed and auto-tuned portability. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13097
Venue: VLDB
Year: 2023
Pagerank: 4.4846474e-05
Overall Rank: 8,616 | 40.07%
DOI: 10.14778/3603581.3603590

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,568	Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs	2025	VLDB	4.7084322e-05
7,751	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD	4.6603427e-05
10,253	Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization	2026	VLDB	4.1945683e-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
9	Implementation Techniques For Main Memory Database Systems	1984	SIGMOD	0.0014279444
239	GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management	2006	SIGMOD	0.00031617428
775	Relational Joins on Graphics Processors	2008	SIGMOD	0.00016823862
1,686	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD	0.00010917794
2,040	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	9.7057698e-05
2,278	Hardware Acceleration for Spatial Selections and Joins	2003	SIGMOD	9.1218781e-05
2,287	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	9.0972606e-05
3,898	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB	6.6551268e-05
5,197	Data-Parallel Query Processing on Non-Uniform Data	2020	VLDB	5.6347409e-05
5,247	Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects	2022	SIGMOD	5.6057839e-05
5,457	Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors	2005	SIGMOD	5.4970777e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
2,040	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	9.7057698e-05
3,305	Robust Query Processing in Co-Processor-accelerated Databases	2016	SIGMOD	7.2460965e-05
2,287	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	9.0972606e-05
4,363	Hardware-conscious Query Processing in GPU-accelerated Analytical Engines	2019	CIDR	6.2552614e-05
6,066	GPU Database Systems Characterization and Optimization	2024	VLDB	5.2290447e-05
3,898	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB	6.6551268e-05
775	Relational Joins on Graphics Processors	2008	SIGMOD	0.00016823862
1,686	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD	0.00010917794
7,751	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD	4.6603427e-05
7,377	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD	4.7484565e-05