Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt
Summary: PEOopt: optimize Pipeline Execution Order to cut memory from intermediates in SAP HANA by shrinking pipeline-breaker lifetimes. Experiments show 36% memory reduction with negligible runtime on long queries under high intra-pipeline parallelism. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lukas Landgraf (SAP; Technical University of Dresden)
- 2. Florian Wolf (SAP)
- 3. Wolfgang Lehner (Technical University of Dresden)
BibTeX Citation
@inproceedings{landgraf_sigmod25,
title = {{Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt}},
author = {Landgraf, Lukas and Wolf, Florian and Lehner, Wolfgang},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724437},
url = {https://dl.acm.org/doi/10.1145/3722212.3724437},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,350 | Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs | 2025 | SIGMOD | 5.2841297e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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