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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
14050
Venue
VLDB
Year
2025
Pagerank
4.7084322e-05
Overall Rank
7,568 | 47.36%
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 0.00076197749
1,273 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00012912938
1,287 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00012820443
2,040 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 9.7057698e-05
2,287 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 9.0972606e-05
2,519 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 8.6078505e-05
2,651 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 8.3694317e-05
3,254 Query Processing on Tensor Computation Runtimes 2022 VLDB 7.3161051e-05
3,327 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 7.2205738e-05
3,465 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.0695873e-05
3,898 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 6.6551268e-05
4,002 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 6.545665e-05
4,678 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.0046271e-05
5,019 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 5.7559197e-05
5,247 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 5.6057839e-05
6,066 GPU Database Systems Characterization and Optimization 2024 VLDB 5.2290447e-05
6,223 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 5.1496398e-05
6,453 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 5.0571108e-05
6,496 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 5.0413077e-05
6,861 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 4.905263e-05
7,209 GPU-accelerated data management under the test of time 2020 CIDR 4.7996023e-05
7,328 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 4.7610909e-05
7,377 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 4.7484565e-05
7,751 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 4.6603427e-05
8,118 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 4.5814829e-05
8,616 A Case for Graphics-driven Query Processing 2023 VLDB 4.4846474e-05
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