Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS
Summary: HyPE extends physical optimization with GPU-aware, cost-based generation of hybrid CPU/GPU query plans. Its portable engine integrates database-specific scheduling and operation costs, bridging general heterogeneous-task frameworks and GPU-specialized DBMSs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sebastian Breß (University of Magdeburg)
BibTeX Citation
@article{bre_vldb13,
title = {{Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS}},
author = {Breß, Sebastian},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
doi = {10.14778/2536274.2536325},
url = {https://doi.org/10.14778/2536274.2536325},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 278 | FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs | 2010 | SIGMOD | 0.00022476841 |
| 305 | GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management | 2006 | SIGMOD | 0.00021872796 |
| 631 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00015591241 |
| 912 | Hardware-Oblivious Parallelism for In-Memory Column-Stores | 2013 | VLDB | 0.00013269804 |
| 1,452 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD | 0.00010745803 |
| 2,885 | High-Throughput Transaction Executions on Graphics Processors | 2011 | VLDB | 7.9969529e-05 |
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| 1 | 5,807 | Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs | 2021 | VLDB |
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