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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
10931
Venue
VLDB
Year
2013
Pagerank
0.00013792901
Overall Rank
823 | 94.36%
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 53 citing papers.

Rank Citing Paper Year Venue Pagerank
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
1,666 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010068964
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,498 Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores 2015 VLDB 8.5016595e-05
2,504 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4963369e-05
2,566 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.4116562e-05
2,713 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2122726e-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
3,060 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.8062155e-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
3,471 In-Cache Query Co-Processing on Coupled CPU-GPU Architectures 2015 VLDB 7.3885861e-05
3,791 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.1235328e-05
3,890 GaccO - A GPU-accelerated OLTP DBMS 2022 SIGMOD 7.0435206e-05
3,895 The Case For Heterogeneous HTAP 2017 CIDR 7.0416054e-05
4,089 TCUDB: Accelerating Database with Tensor Processors 2022 SIGMOD 6.9096857e-05
4,144 Tile-based Lightweight Integer Compression in GPU 2022 SIGMOD 6.8744592e-05
4,243 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.8073248e-05
4,376 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7364442e-05
4,535 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 6.6419266e-05
4,585 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.6175897e-05
4,603 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.6105578e-05
4,861 CXL and the Return of Scale-Up Database Engines 2024 VLDB 6.4747307e-05
5,092 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 6.3669454e-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
5,807 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 6.0805143e-05
6,043 Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale 2021 VLDB 5.9966613e-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
7,235 An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA 2024 VLDB 5.6655351e-05
7,370 Efficient Top-K Query Processing on Massively Parallel Hardware 2018 SIGMOD 5.6313494e-05
7,432 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6199783e-05
7,591 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.5900315e-05
7,959 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.5181056e-05
8,053 Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems 2025 SIGMOD 5.4990605e-05
8,808 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3661351e-05
9,180 Evaluating Memory-Hard Proof-of-Work Algorithms on Three Processors 2020 VLDB 5.3065675e-05
9,333 Efficiently Joining Large Relations on Multi-GPU Systems 2025 VLDB 5.2887551e-05
10,260 L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression 2026 SIGMOD 5.093636e-05
10,409 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 5.093636e-05
10,541 Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization 2026 VLDB 5.093636e-05
10,580 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.093636e-05
10,588 RayDB: Building Databases with Ray Tracing Cores 2026 VLDB 5.093636e-05
10,889 Concurrency Control as a Service 2025 VLDB 5.093636e-05
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