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Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment

Summary: Multi-GPU join algorithms for very large tables; three designs: nested-loop, global-sort-merge, hybrid. Addresses CPU–GPU data-transfer bottlenecks; shows scalability and up to 25× vs multi-core CPU and 2.8× vs single-GPU. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4f765816a95b6a48
Venue
VLDB
Year
2021
Pagerank
7.9081605e-05
Overall Rank
2,886 | 80.60%
DOI
10.14778/3436905.3436927

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{rui_vldb21,
        title = {{Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment}},
        author = {Rui, Ran and Li, Hao and Tu, Yi-Cheng},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {4},
        pages = {708--720},
        doi = {10.14778/3436905.3436927},
        url = {https://doi.org/10.14778/3436905.3436927},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
3,626 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1524537e-05
3,655 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 7.1260841e-05
3,689 RTIndex: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing 2023 VLDB 7.0943075e-05
3,888 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.945725e-05
4,137 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.7861661e-05
5,371 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1584802e-05
5,541 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.0902254e-05
5,615 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 6.0652416e-05
6,151 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.8697699e-05
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7927521e-05
6,667 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.7152948e-05
7,097 Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs 2023 SIGMOD 5.601767e-05
8,236 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3710413e-05
8,274 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.3642256e-05
8,595 A Case for Graphics-driven Query Processing 2023 VLDB 5.3062403e-05
9,429 Efficiently Joining Large Relations on Multi-GPU Systems 2025 VLDB 5.1786456e-05
9,863 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.1176637e-05
10,042 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 5.0921006e-05
10,723 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 4.9793485e-05
10,905 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9793485e-05
10,906 RayBooster: A Ray Tracing Engine to Accelerate SedonaDB 2026 VLDB 4.9793485e-05
11,865 Scaling Equi-Joins 2022 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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