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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
h7b8bb9898c188f00
Venue
VLDB
Year
2024
Pagerank
6.7560016e-05
Overall Rank
4,164 | 72.09%
DOI
10.14778/3632093.3632107
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

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 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
5,425 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.121543e-05
5,721 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 6.0008904e-05
6,003 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.9023799e-05
6,571 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 5.7278348e-05
6,685 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6936999e-05
7,610 Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search 2026 SIGMOD 5.4683985e-05
7,973 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3991259e-05
8,007 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.3916546e-05
9,061 Themis: A GPU-accelerated Relational Query Execution Engine 2025 VLDB 5.2142646e-05
9,905 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.0983269e-05
9,996 Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment 2025 VLDB 5.0845476e-05
10,303 GraphMatch: Subgraph Query Processing on Steroids 2026 SIGMOD 5.0294306e-05
10,399 G-CasDec: General Cascaded Decompression on GPUs 2027 SIGMOD 4.9605343e-05
10,400 HeraDB: Towards Real-time Analysis of Transaction-Centric HTAP with CPU-GPU Hybrid Query Execution 2027 SIGMOD 4.9605343e-05
10,673 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 4.9605343e-05
10,794 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 4.9605343e-05
10,872 PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage 2026 VLDB 4.9605343e-05
10,901 Bridging the Indexing Gap in Fused GPU Query Engines 2026 VLDB 4.9605343e-05
10,975 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9605343e-05
10,976 RayBooster: A Ray Tracing Engine to Accelerate SedonaDB 2026 VLDB 4.9605343e-05
10,985 Reaching the Pinnacle of TPC-DS: Co-design of Architecture, Executor, and Storage in TDSQL 2026 VLDB 4.9605343e-05
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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
21 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00056737487
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055523999
111 DBMSs On A Modern Processor: Where Does Time Go? 1999 VLDB 0.00032621499
748 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014258503
850 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013450864
1,228 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.00011425748
1,530 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010318943
1,537 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010296073
1,748 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7176232e-05
2,294 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.67775e-05
2,464 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4081954e-05
2,808 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.962315e-05
3,056 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 7.689069e-05
3,471 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 7.258594e-05
3,622 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1350619e-05
3,828 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.9779559e-05
3,868 GaccO - A GPU-accelerated OLTP DBMS 2022 SIGMOD 6.9436655e-05
3,968 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.8770248e-05
4,650 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 6.471543e-05
5,795 The Tensor Data Platform: Towards an AI-centric Database System 2023 CIDR 5.9755414e-05
6,227 A GPU-friendly Geometric Data Model and Algebra for Spatial Queries 2020 SIGMOD 5.8265219e-05
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7763032e-05
8,053 Micro-architectural Analysis of OLAP: Limitations and Opportunities 2020 VLDB 5.3833661e-05
10,063 Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem 2022 VLDB 5.0751118e-05
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