GPU Database Systems Characterization and Optimization

Summary: Cross-stack characterization of four GPU database systems exposes microarchitectural bottlenecks and resource underutilization via roofline analysis. Implementation tuning and MIG-aware resource allocation reduce latency 1.9× and improve concurrent throughput up to 6.5×. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13858
Venue: VLDB
Year: 2024
Pagerank: 6.2245373e-05
Overall Rank: 5,422 | 62.81%
DOI: 10.14778/3632093.3632107

Incoming Non-self Citations Over Time

Authors

1. Jiashen Cao (Georgia Institute of Technology)
2. Rathijit Sen (Microsoft)
3. Matteo Interlandi (Microsoft)
4. Joy Arulraj (Georgia Institute of Technology)
5. Hyesoon Kim (Georgia Institute of Technology)

BibTeX Citation

@article{cao_vldb24,
        title = {{GPU Database Systems Characterization and Optimization}},
        author = {Cao, Jiashen and Sen, Rathijit and Interlandi, Matteo and Arulraj, Joy and Kim, Hyesoon},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {3},
        pages = {441--454},
        doi = {10.14778/3632093.3632107},
        url = {https://doi.org/10.14778/3632093.3632107},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,065	Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics	2025	VLDB	5.9895288e-05
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
7,959	Terabyte-Scale Analytics in the Blink of an Eye	2026	VLDB	5.5181056e-05
8,053	Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems	2025	SIGMOD	5.4990605e-05
8,808	Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs	2024	VLDB	5.3661351e-05
9,280	Themis: A GPU-accelerated Relational Query Execution Engine	2025	VLDB	5.2933689e-05
10,375	GraphMatch: Subgraph Query Processing on Steroids	2026	SIGMOD	5.093636e-05
10,400	Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search	2026	SIGMOD	5.093636e-05
10,409	TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap	2026	SIGMOD	5.093636e-05
10,541	Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization	2026	VLDB	5.093636e-05
10,580	GPU Acceleration of SQL Analytics on Compressed Data	2026	VLDB	5.093636e-05
10,985	Scaling GPU-Accelerated Databases beyond GPU Memory Size	2025	VLDB	5.093636e-05
11,087	Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
23	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.00054886415
24	Spark SQL: Relational Data Processing in Spark	2015	SIGMOD	0.00054865648
109	DBMSs On A Modern Processor: Where Does Time Go?	1999	VLDB	0.000331207
823	The Yin and Yang of Processing Data Warehousing Queries on GPU Devices	2013	VLDB	0.00013792901
912	Hardware-Oblivious Parallelism for In-Memory Column-Stores	2013	VLDB	0.00013269804
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
1,666	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB	0.00010068964
1,977	HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines	2019	VLDB	9.3641101e-05
2,566	Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects	2020	SIGMOD	8.4116562e-05
2,823	Query Processing on Tensor Computation Runtimes	2022	VLDB	8.0893814e-05
2,848	GPL: A GPU-based Pipelined Query Processing Engine	2016	SIGMOD	8.0538815e-05
3,227	MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures	2021	SIGMOD	7.6217889e-05
3,890	GaccO - A GPU-accelerated OLTP DBMS	2022	SIGMOD	7.0435206e-05
4,144	Tile-based Lightweight Integer Compression in GPU	2022	SIGMOD	6.8744592e-05
4,243	Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS	2022	VLDB	6.8073248e-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
5,807	Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs	2021	VLDB	6.0805143e-05
5,953	The Tensor Data Platform: Towards an AI-centric Database System	2023	CIDR	6.0309873e-05
6,629	A GPU-friendly Geometric Data Model and Algebra for Spatial Queries	2020	SIGMOD	5.8194784e-05
6,774	Evaluating Multi-GPU Sorting with Modern Interconnects	2022	SIGMOD	5.7778738e-05
7,991	Micro-architectural Analysis of OLAP: Limitations and Opportunities	2020	VLDB	5.5107319e-05
9,835	Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem	2022	VLDB	5.2112879e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	1,452	Fast Computation of Database Operations using Graphics Processors	2004	SIGMOD
2	6,835	GPU-accelerated data management under the test of time	2020	CIDR
3	7,959	Terabyte-Scale Analytics in the Blink of an Eye	2026	VLDB
4	7,113	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD
5	8,487	A Case for Graphics-driven Query Processing	2023	VLDB
6	7,591	Efficiently Processing Joins and Grouped Aggregations on GPUs	2025	SIGMOD
7	10,985	Scaling GPU-Accelerated Databases beyond GPU Memory Size	2025	VLDB
8	2,713	Robust Query Processing in Co-Processor-accelerated Databases	2016	SIGMOD
9	2,504	Concurrent Analytical Query Processing with GPUs	2014	VLDB
10	1,466	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD