Data-Parallel Query Processing on Non-Uniform Data
Summary: Identifies filter and expansion divergence as key GPU inefficiencies under skewed data and fused pipelines. DogQC balances these effects, improving robustness and delivering up to 4.51× speedups over GPU compilers and 4.54× over CPU systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Henning Funke (Technical University of Dortmund)
- 2. Jens Teubner (Technical University of Dortmund)
BibTeX Citation
@article{funke_vldb20,
title = {{Data-Parallel Query Processing on Non-Uniform Data}},
author = {Funke, Henning and Teubner, Jens},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {6},
pages = {884--897},
doi = {10.14778/3380750.3380758},
url = {https://doi.org/10.14778/3380750.3380758},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056737487 |
| 27 | Database Architecture Optimized for the New Bottleneck: Memory Access | 1999 | VLDB | 0.0005146739 |
| 215 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00024554257 |
| 748 | The Yin and Yang of Processing Data Warehousing Queries on GPU Devices | 2013 | VLDB | 0.00014258503 |
| 850 | Hardware-Oblivious Parallelism for In-Memory Column-Stores | 2013 | VLDB | 0.00013450864 |
| 912 | Dictionary-based Order-preserving String Compression for Main Memory Column Stores | 2009 | SIGMOD | 0.00013092547 |
| 1,530 | Pipelined Query Processing in Coprocessor Environments | 2018 | SIGMOD | 0.00010318943 |
| 2,606 | Robust Query Processing in Co-Processor-accelerated Databases | 2016 | SIGMOD | 8.2118469e-05 |
| 2,808 | GPL: A GPU-based Pipelined Query Processing Engine | 2016 | SIGMOD | 7.962315e-05 |
| 4,226 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.709364e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,650 | Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs | 2021 | VLDB |
| 2 | 7,425 | Compliant Geo-distributed Query Processing | 2021 | SIGMOD |
| 3 | 3,775 | Hardware-conscious Query Processing in GPU-accelerated Analytical Engines | 2019 | CIDR |
| 4 | 1,454 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD |
| 5 | 8,608 | A Case for Graphics-driven Query Processing | 2023 | VLDB |
| 6 | 2,468 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB |
| 7 | 2,606 | Robust Query Processing in Co-Processor-accelerated Databases | 2016 | SIGMOD |
| 8 | 7,200 | GPUQP: Query Co-Processing Using Graphics Processors | 2007 | SIGMOD |
| 9 | 1,530 | Pipelined Query Processing in Coprocessor Environments | 2018 | SIGMOD |
| 10 | 12,156 | Like Water and Oil: With a Proper Emulsifier, Query Compilation and Data Parallelism Will Mix Well | 2020 | VLDB |