DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines
Summary: DAPHNE: extensible infra unifying DM, HPC and ML pipelines via shared language abstractions, compiler/runtime integration and multi-level scheduling. Key novelty: vectorized engine for computational storage and accelerators to cut data-movement/format overheads for local and distributed ops; prelim results show notable speedups. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Patrick Damme (Graz University of Technology; Know-Center GmbH)
- 2. Marius Birkenbach (KAI GmbH)
- 3. Constantinos Bitsakos (Institute of Communication and Computer Systems; National Technical University of Athens)
- 4. Matthias Boehm (Graz University of Technology; Know-Center GmbH)
- 5. Philippe Bonnet (IT University of Copenhagen)
- 6. Florina Ciorba (University of Basel)
- 7. Mark Dokter (Graz University of Technology; Know-Center GmbH)
- 8. Pawel Dowgiallo (Intel)
- 9. Ahmed Eleliemy (University of Basel)
- 10. Christian Faerber (Intel)
- 11. Georgios Goumas (Institute of Communication and Computer Systems; National Technical University of Athens)
- 12. Dirk Habich (Technical University of Dresden)
- 13. Niclas Hedam (IT University of Copenhagen)
- 14. Marlies Hofer (AVL List GmbH)
- 15. Wenjun Huang (German Aerospace Center)
- 16. Kevin Innerebner (Graz University of Technology; Know-Center GmbH)
- 17. Vasileios Karakostas (Institute of Communication and Computer Systems; National Technical University of Athens)
- 18. Roman Kern (Graz University of Technology; Know-Center GmbH)
- 19. Tomaž Kosar (University of Maribor)
- 20. Alexander Krause (Technical University of Dresden)
- 21. Daniel Krems (AVL List GmbH)
- 22. Andreas Laber (Infineon Technologies)
- 23. Wolfgang Lehner (Technical University of Dresden)
- 24. Eric Mier (Technical University of Dresden)
- 25. Marcus Paradies (German Aerospace Center)
- 26. Bernhard Peischl (AVL List GmbH)
- 27. Gabrielle Poerwawinata (University of Basel)
- 28. Stratos Psomadakis (Institute of Communication and Computer Systems; National Technical University of Athens)
- 29. Tilmann Rabl (Hasso Plattner Institute; University of Potsdam)
- 30. Piotr Ratuszniak (Intel)
- 31. Pedro Silva (Hasso Plattner Institute; University of Potsdam)
- 32. Nikolai Skuppin (German Aerospace Center; Technical University of Munich)
- 33. Andreas Starzacher (Infineon Technologies)
- 34. Benjamin Steinwender (KAI GmbH)
- 35. Ilin Tolovski (Hasso Plattner Institute; University of Potsdam)
- 36. Pınar Tözün (IT University of Copenhagen)
- 37. Wojciech Ulatowski (Intel)
- 38. Yuanyuan Wang (German Aerospace Center; Technical University of Munich)
- 39. Izajasz Wrosz (Intel)
- 40. Aleš Zamuda (University of Maribor)
- 41. Ce Zhang (ETH Zurich)
- 42. Xiao Xiang Zhu (German Aerospace Center; Technical University of Munich)
BibTeX Citation
@inproceedings{damme_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Damme, Patrick and Birkenbach, Marius and Bitsakos, Constantinos and Boehm, Matthias and Bonnet, Philippe and Ciorba, Florina and Dokter, Mark and Dowgiallo, Pawel and Eleliemy, Ahmed and Faerber, Christian and Goumas, Georgios and Habich, Dirk and Hedam, Niclas and Hofer, Marlies and Huang, Wenjun and Innerebner, Kevin and Karakostas, Vasileios and Kern, Roman and Kosar, Tomaž and Krause, Alexander and Krems, Daniel and Laber, Andreas and Lehner, Wolfgang and Mier, Eric and Paradies, Marcus and Peischl, Bernhard and Poerwawinata, Gabrielle and Psomadakis, Stratos and Rabl, Tilmann and Ratuszniak, Piotr and Silva, Pedro and Skuppin, Nikolai and Starzacher, Andreas and Steinwender, Benjamin and Tolovski, Ilin and Tözün, Pınar and Ulatowski, Wojciech and Wang, Yuanyuan and Wrosz, Izajasz and Zamuda, Aleš and Zhang, Ce and Zhu, Xiao Xiang},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,823 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 8.0893814e-05 |
| 7,461 | Bringing Compiling Databases to RISC Architectures | 2023 | VLDB | 5.611858e-05 |
| 9,834 | EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution | 2025 | VLDB | 5.2112879e-05 |
| 10,072 | Query Compilation Without Regrets | 2024 | SIGMOD | 5.1624689e-05 |
| 11,358 | Pipeline Group Optimization on Disaggregated Systems | 2023 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 37 of 37 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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