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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
14238
Venue
VLDB
Year
2025
Pagerank
5.6199783e-05
Overall Rank
7,432 | 49.02%
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 6 of 6 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 0.0006312782
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
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,140 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 9.0991487e-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
3,134 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 7.7231028e-05
3,227 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 7.6217889e-05
4,243 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.8073248e-05
4,478 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.6789258e-05
4,535 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 6.6419266e-05
5,422 GPU Database Systems Characterization and Optimization 2024 VLDB 6.2245373e-05
5,587 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1596139e-05
5,778 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 6.0918646e-05
6,065 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 5.9895288e-05
6,487 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 5.8651793e-05
6,835 GPU-accelerated data management under the test of time 2020 CIDR 5.7584924e-05
7,058 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 5.7154673e-05
7,113 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 5.6985502e-05
7,591 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.5900315e-05
8,053 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 5.4990605e-05
8,487 A Case for Graphics-driven Query Processing 2023 VLDB 5.4153858e-05
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