Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware
Summary: Co-designs Flink’s execution model and hardware backends to transparently accelerate arbitrary Java UDFs without API changes. Unmodified applications run on GPUs/FPGAs, achieving up to 65×/184× speedups over CPU Flink. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Maria Xekalaki (University of Manchester)
- 2. Juan Fumero (University of Manchester)
- 3. Athanasios Stratikopoulos (University of Manchester)
- 4. Katerina Doka (National Technical University of Athens)
- 5. Christos Katsakioris (National Technical University of Athens)
- 6. Constantinos Bitsakos (National Technical University of Athens)
- 7. Nectarios Koziris (National Technical University of Athens)
- 8. Christos Kotselidis (University of Manchester)
BibTeX Citation
@article{xekalaki_vldb22,
title = {{Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware}},
author = {Xekalaki, Maria and Fumero, Juan and Stratikopoulos, Athanasios and Doka, Katerina and Katsakioris, Christos and Bitsakos, Constantinos and Koziris, Nectarios and Kotselidis, Christos},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {13},
pages = {3869--3882},
doi = {10.14778/3565838.3565842},
url = {https://doi.org/10.14778/3565838.3565842},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,511 | DPDPU: Data Processing with DPUs | 2025 | CIDR | 5.25736e-05 |
| 9,873 | Workload Placement on Heterogeneous CPU-GPU Systems | 2024 | VLDB | 5.2043672e-05 |
| 10,691 | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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