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

Summary: MaxBench evaluates relational workloads (TPC‑H, H2O‑G, ClickBench) across GPUs (RTX3090, A100, H100, GH200) and interconnects (PCIe3/4/5, NVLink4), profiling CPU–GPU transfers and per-operator costs. Introduces characteristic query complexity and GPU/interconnect efficiency plus a cost model to quantify compute vs bandwidth trade-offs and forecast performance gains from hardware improvements. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14051
Venue
VLDB
Year
2025
Pagerank
4.7039167e-05
Overall Rank
7,570 | 47.39%
DOI
10.14778/3749646.3749698

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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
35 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00076209479
1,271 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00012900735
1,285 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00012809552
2,044 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 9.6963999e-05
2,292 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 9.0884645e-05
2,523 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 8.599693e-05
2,659 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 8.3615158e-05
3,260 Query Processing on Tensor Computation Runtimes 2022 VLDB 7.3091312e-05
3,328 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 7.2136181e-05
3,471 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.0628019e-05
3,899 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 6.6513982e-05
4,000 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 6.5419402e-05
4,678 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 5.9988623e-05
5,018 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 5.7503878e-05
5,251 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 5.6003972e-05
6,068 GPU Database Systems Characterization and Optimization 2024 VLDB 5.2240241e-05
6,220 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 5.1446966e-05
6,451 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 5.0522576e-05
6,492 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 5.0364695e-05
6,861 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 4.9005561e-05
7,209 GPU-accelerated data management under the test of time 2020 CIDR 4.7949787e-05
7,324 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 4.7565238e-05
7,375 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 4.7439007e-05
7,752 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 4.6558737e-05
8,123 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 4.5770901e-05
8,615 A Case for Graphics-driven Query Processing 2023 VLDB 4.4803479e-05
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