GPUQP: Query Co-Processing Using Graphics Processors
Summary: GPUQP enables CPU-GPU in-memory query co-processing for relational workloads, accelerating core operators and joins with GPUs. It analyzes GPU programming models (graphics APIs and GPGPU) and reports processing flows and performance for heavy constructs like tree indexes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rui Fang
- 2. Bingsheng He
- 3. Mian Lu
- 4. Ke Yang
- 5. Naga K. Govindaraju
- 6. Qiong Luo
- 7. Pedro V. Sander
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,498 | GaccO - A GPU-accelerated OLTP DBMS | 2022 | SIGMOD | 6.138538e-05 |
| 6,369 | Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs | 2021 | VLDB | 5.0936663e-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 |
| 7,568 | Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs | 2025 | VLDB | 4.7084322e-05 |
| 11,020 | Accelerating Merkle Patricia Trie with GPU | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 238 | Cache Conscious Indexing for Decision-Support in Main Memory | 1999 | VLDB | 0.00031642425 |
| 239 | GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management | 2006 | SIGMOD | 0.00031617428 |
| 775 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00016823862 |
| 1,686 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD | 0.00010917794 |
| 2,278 | Hardware Acceleration for Spatial Selections and Joins | 2003 | SIGMOD | 9.1218781e-05 |
| 5,068 | Query Co-Processing on Commodity Processors | 2006 | VLDB | 5.72154e-05 |
| 5,457 | Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors | 2005 | SIGMOD | 5.4970777e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,519 | Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture | 2013 | VLDB | 8.6078505e-05 |
| 4,363 | Hardware-conscious Query Processing in GPU-accelerated Analytical Engines | 2019 | CIDR | 6.2552614e-05 |
| 3,465 | GPL: A GPU-based Pipelined Query Processing Engine | 2016 | SIGMOD | 7.0695873e-05 |
| 3,305 | Robust Query Processing in Co-Processor-accelerated Databases | 2016 | SIGMOD | 7.2460965e-05 |
| 2,330 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB | 9.0192228e-05 |
| 2,287 | Pipelined Query Processing in Coprocessor Environments | 2018 | SIGMOD | 9.0972606e-05 |
| 3,696 | Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS | 2013 | VLDB | 6.834483e-05 |
| 1,686 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD | 0.00010917794 |
| 775 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00016823862 |
| 8,616 | A Case for Graphics-driven Query Processing | 2023 | VLDB | 4.4846474e-05 |