Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware
Summary: Proposes Ocelot/HyPE, a hardware-oblivious data processing engine paired with a learning-based optimizer for heterogeneous hardware. Demonstrates adaptive DBMS capable of automatic operator placement across accelerators, easing code maintenance while optimizing runtimes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sebastian Breß (Technical University of Dortmund; University of Magdeburg)
- 2. Bastian Köcher (Technical University of Berlin)
- 3. Max Heimel (Technical University of Berlin; University of Magdeburg)
- 4. Volker Markl (Technical University of Berlin; University of Magdeburg)
- 5. Michael Saecker (Parstream GmbH; University of Magdeburg)
- 6. Gunter Saake (University of Magdeburg)
BibTeX Citation
@article{bre_vldb14,
title = {{Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware}},
author = {Breß, Sebastian and Köcher, Bastian and Heimel, Max and Markl, Volker and Saecker, Michael and Saake, Gunter},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1609--1612},
doi = {10.14778/2733004.2733042},
url = {https://doi.org/10.14778/2733004.2733042},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,600 | Robust Query Processing in Co-Processor-accelerated Databases | 2016 | SIGMOD | 8.2363864e-05 |
| 3,053 | MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures | 2021 | SIGMOD | 7.7019663e-05 |
| 3,861 | GaccO - A GPU-accelerated OLTP DBMS | 2022 | SIGMOD | 6.9656048e-05 |
| 3,888 | Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS | 2022 | VLDB | 6.945725e-05 |
| 5,394 | Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration | 2016 | SIGMOD | 6.1497789e-05 |
| 5,541 | Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics | 2025 | VLDB | 6.0902254e-05 |
| 6,658 | A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores | 2019 | VLDB | 5.7182492e-05 |
| 7,523 | Workload Placement on Heterogeneous CPU-GPU Systems | 2024 | VLDB | 5.5025409e-05 |
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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 |
|---|---|---|---|---|
| 771 | The Yin and Yang of Processing Data Warehousing Queries on GPU Devices | 2013 | VLDB | 0.00014085862 |
| 856 | Hardware-Oblivious Parallelism for In-Memory Column-Stores | 2013 | VLDB | 0.00013428547 |
| 941 | Data Processing on FPGAs | 2009 | VLDB | 0.00012957405 |
| 3,200 | Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS | 2013 | VLDB | 7.5437496e-05 |
| 4,539 | OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures | 2013 | VLDB | 6.5532239e-05 |
| 6,935 | Demonstrating Efficient Query Processing in Heterogeneous Environments | 2014 | SIGMOD | 5.6400985e-05 |
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| 10 | 6,935 | Demonstrating Efficient Query Processing in Heterogeneous Environments | 2014 | SIGMOD |