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
- 2. Florian Wolf
- 3. Wolfgang Lehner
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,186 | Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs | 2025 | SIGMOD | 4.3791424e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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