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Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs

Summary: Introduces MaxBench, a benchmarking, profiling, and cost-modeling framework for GPU relational analytics across modern GPUs and interconnects. Replaces arithmetic intensity/GFLOP/s with characteristic query complexity and GPU efficiency to quantify compute–communication trade-offs and project future gains. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h84bddbdbd0323383
Venue
VLDB
Year
2025
Pagerank
5.7152948e-05
Overall Rank
6,667 | 55.18%
DOI
10.14778/3749646.3749698

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kabic_vldb25,
        title = {{Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs}},
        author = {Kabić, Marko and Wu, Bowen and Dann, Jonas and Alonso, Gustavo},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {4350--4363},
        doi = {10.14778/3749646.3749698},
        url = {https://doi.org/10.14778/3749646.3749698},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
14 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00064031282
771 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014085862
856 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013428547
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,533 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010332035
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
2,122 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 9.0084047e-05
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4348335e-05
2,815 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9777435e-05
2,886 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 7.9081605e-05
3,053 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 7.7019663e-05
3,626 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1524537e-05
3,888 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.945725e-05
4,480 GPU Database Systems Characterization and Optimization 2024 VLDB 6.5807917e-05
4,539 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.5532239e-05
4,989 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 6.3247654e-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
6,489 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 5.7676507e-05
6,516 GPU-accelerated data management under the test of time 2020 CIDR 5.7588588e-05
6,587 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 5.7429023e-05
7,188 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 5.5908064e-05
8,595 A Case for Graphics-driven Query Processing 2023 VLDB 5.3062403e-05
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