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The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Summary: A three-dimensional study of warehousing queries across workloads, software, and GPU configurations, identifying the kernel-versus-data-transfer bottleneck. An analytical performance model and open-source engine guide production-grade GPU warehouse integration. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h658314d4fa4d58db
Venue
VLDB
Year
2013
Pagerank
0.0001407924
Overall Rank
775 | 94.80%
DOI
10.14778/2733004.2733006

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yuan_vldb13,
        title = {{The Yin and Yang of Processing Data Warehousing Queries on GPU Devices}},
        author = {Yuan, Yuan and Lee, Rubao and Zhang, Xiaodong},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {10},
        pages = {817--828},
        doi = {10.14778/2733004.2733006},
        url = {https://doi.org/10.14778/2733004.2733006},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 57 citing papers.

Rank Citing Paper Year Venue Pagerank
1,269 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.00011254742
1,534 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010327147
1,542 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.0001030858
1,748 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7289385e-05
2,202 Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores 2015 VLDB 8.8707587e-05
2,287 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.691301e-05
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4308406e-05
2,466 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4182778e-05
2,601 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2325291e-05
2,816 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9740083e-05
2,887 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 7.9044174e-05
3,055 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 7.6983202e-05
3,108 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.6392673e-05
3,491 In-Cache Query Co-Processing on Coupled CPU-GPU Architectures 2015 VLDB 7.2586387e-05
3,628 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1490678e-05
3,657 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 7.1227107e-05
3,775 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0261504e-05
3,862 GaccO - A GPU-accelerated OLTP DBMS 2022 SIGMOD 6.9623352e-05
3,888 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.942437e-05
3,934 The Case For Heterogeneous HTAP 2017 CIDR 6.9145781e-05
3,962 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.8916038e-05
3,974 TCUDB: Accelerating Database with Tensor Processors 2022 SIGMOD 6.8848857e-05
4,138 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.782996e-05
4,200 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7378729e-05
4,484 GPU Database Systems Characterization and Optimization 2024 VLDB 6.5776765e-05
4,647 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 6.4850635e-05
4,946 CXL and the Return of Scale-Up Database Engines 2024 VLDB 6.3412158e-05
4,992 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 6.3217714e-05
5,135 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 6.2568126e-05
5,376 Distributed GPU Joins on Fast RDMA-capable Networks 2023 SIGMOD 6.1555648e-05
5,543 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.0873423e-05
5,616 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 6.0623704e-05
5,991 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.9219616e-05
6,008 Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale 2021 VLDB 5.9125335e-05
6,153 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.8669913e-05
6,491 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 5.7649204e-05
6,518 GPU-accelerated data management under the test of time 2020 CIDR 5.7561332e-05
6,589 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 5.7401837e-05
6,671 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.7125893e-05
7,068 Efficient Top-K Query Processing on Massively Parallel Hardware 2018 SIGMOD 5.6060783e-05
7,325 An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA 2024 VLDB 5.5508106e-05
8,242 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3684987e-05
8,280 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.3616863e-05
9,364 Evaluating Memory-Hard Proof-of-Work Algorithms on Three Processors 2020 VLDB 5.1850467e-05
9,438 Efficiently Joining Large Relations on Multi-GPU Systems 2025 VLDB 5.1761941e-05
9,870 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.115241e-05
10,484 L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression 2026 SIGMOD 4.9769913e-05
10,612 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 4.9769913e-05
10,733 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 4.9769913e-05
10,795 MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures 2026 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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