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MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures

Summary: MG-Join proposes a scalable partitioned hash join for multi-GPU single-machine architectures. Adaptive multi-hop cross-GPU routing minimizes congestion, achieving up to 97% bisection-bandwidth utilization, and up to 2.5x join speedups with 4.5x TPC-H gains over Omnisci. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h15da8b410dd3e296
Venue
SIGMOD
Year
2021
Pagerank
7.689069e-05
Overall Rank
3,056 | 79.52%
DOI
10.1145/3448016.3457254

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{paul_sigmod21,
        title = {{MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures}},
        author = {Paul, Johns and Lu, Shengliang and He, Bingsheng and Lau, Chiew Tong},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457254},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457254},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
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
3,698 RTIndex: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing 2023 VLDB 7.0675021e-05
3,828 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.9779559e-05
4,164 GPU Database Systems Characterization and Optimization 2024 VLDB 6.7560016e-05
5,373 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1405913e-05
5,425 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.121543e-05
5,629 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 6.0424626e-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
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7763032e-05
6,685 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6936999e-05
7,122 Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs 2023 SIGMOD 5.580601e-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
9,145 Efficiently Joining Large Relations on Multi-GPU Systems 2025 VLDB 5.2067758e-05
10,794 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 4.9605343e-05
10,856 MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures 2026 VLDB 4.9605343e-05
10,901 Bridging the Indexing Gap in Fused GPU Query Engines 2026 VLDB 4.9605343e-05
11,600 SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs 2024 SIGMOD 4.9605343e-05
11,622 Accelerating Merkle Patricia Trie with GPU 2024 VLDB 4.9605343e-05
11,915 Scaling Equi-Joins 2022 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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