Concurrent Analytical Query Processing with GPUs

Summary: Exposes severe GPU underutilization (≤25%) in single-query database execution. Introduces concurrent GPU query processing with query scheduling and device-memory swapping, improving throughput by up to 55% over dedicated execution. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: hc5e54b036aa945be
Venue: VLDB
Year: 2014
Pagerank: 8.4182778e-05
Overall Rank: 2,466 | 83.43%
DOI: 10.14778/2732967.2732976
PDF: Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

Authors

1. Kaibo Wang (Ohio State University)
2. Kai Zhang (Ohio State University; University of Science and Technology Beijing)
3. Yuan Yuan (Ohio State University)
4. Siyuan Ma (Ohio State University)
5. Rubao Lee (Ohio State University)
6. Xiaoning Ding (New Jersey Institute of Technology)
7. Xiaodong Zhang (Ohio State University)

BibTeX Citation

@article{wang_vldb14,
        title = {{Concurrent Analytical Query Processing with GPUs}},
        author = {Wang, Kaibo and Zhang, Kai and Yuan, Yuan and Ma, Siyuan and Lee, Rubao and Ding, Xiaoning and Zhang, Xiaodong},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {11},
        pages = {1011--1022},
        doi = {10.14778/2732967.2732976},
        url = {https://doi.org/10.14778/2732967.2732976},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,269	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	0.00011254742
1,542	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB	0.0001030858
2,202	Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores	2015	VLDB	8.8707587e-05
2,601	Robust Query Processing in Co-Processor-accelerated Databases	2016	SIGMOD	8.2325291e-05
2,816	GPL: A GPU-based Pipelined Query Processing Engine	2016	SIGMOD	7.9740083e-05
3,657	Tile-based Lightweight Integer Compression in GPU	2022	SIGMOD	7.1227107e-05
3,691	RTIndex: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing	2023	VLDB	7.0909492e-05
3,888	Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS	2022	VLDB	6.942437e-05
3,974	TCUDB: Accelerating Database with Tensor Processors	2022	SIGMOD	6.8848857e-05
4,138	The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product	2021	VLDB	6.782996e-05
4,200	Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources	2017	VLDB	6.7378729e-05
5,543	Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics	2025	VLDB	6.0873423e-05
6,008	Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale	2021	VLDB	5.9125335e-05
6,249	ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation	2019	VLDB	5.8343283e-05
8,205	Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent	2023	VLDB	5.3769281e-05
10,047	MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training	2025	SIGMOD	5.0896901e-05
10,612	TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap	2026	SIGMOD	4.9769913e-05
10,915	RayBooster: A Ray Tracing Engine to Accelerate SedonaDB	2026	VLDB	4.9769913e-05
10,946	RayDB: Building Databases with Ray Tracing Cores	2026	VLDB	4.9769913e-05
11,656	High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now	2024	VLDB	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
304	GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management	2006	SIGMOD	0.00021598803
616	Relational Joins on Graphics Processors	2008	SIGMOD	0.00015554627
663	Fast Sort on CPUs and GPUs: A Case for Bandwidth Oblivious SIMD Sort	2010	SIGMOD	0.00014997516
775	The Yin and Yang of Processing Data Warehousing Queries on GPU Devices	2013	VLDB	0.0001407924
857	Hardware-Oblivious Parallelism for In-Memory Column-Stores	2013	VLDB	0.00013422539
1,454	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD	0.00010596726
2,749	Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations	2004	VLDB	8.0571049e-05
2,889	High-Throughput Transaction Executions on Graphics Processors	2011	VLDB	7.9034864e-05
3,202	Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS	2013	VLDB	7.5401819e-05
8,628	Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems	2012	VLDB	5.2991344e-05

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1	6,518	GPU-accelerated data management under the test of time	2020	CIDR
2	8,280	Scaling GPU-Accelerated Databases beyond GPU Memory Size	2025	VLDB
3	1,534	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD
4	1,269	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD
5	7,190	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD
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7	3,775	Hardware-conscious Query Processing in GPU-accelerated Analytical Engines	2019	CIDR
8	4,393	Sharing Data and Work Across Concurrent Analytical Queries	2013	VLDB
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