An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA
Summary: First empirical study integrating commercial CXL memory into SAP HANA Cloud, evaluating dynamic capacity expansion and shared cache-coherent pools. OLTP sees negligible slowdown; OLAP impact depends on data-structure access patterns; shared CXL trims restart time ~40%–84%. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Minseon Ahn (SAP)
- 2. Thomas Willhalm (Intel)
- 3. Norman May (SAP)
- 4. Donghun Lee (SAP)
- 5. Suprasad Mutalik Desai (Intel)
- 6. Daniel Booss (SAP)
- 7. Jungmin Kim (SAP)
- 8. Navneet Singh (Intel)
- 9. Daniel Ritter (SAP)
- 10. Oliver Rebholz (SAP)
BibTeX Citation
@article{ahn_vldb24,
title = {{An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA}},
author = {Ahn, Minseon and Willhalm, Thomas and May, Norman and Lee, Donghun and Desai, Suprasad Mutalik and Booss, Daniel and Kim, Jungmin and Singh, Navneet and Ritter, Daniel and Rebholz, Oliver},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {3827--3840},
doi = {10.14778/3685800.3685809},
url = {https://doi.org/10.14778/3685800.3685809},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,609 | CXL Memory Performance for In-Memory Data Processing | 2025 | VLDB | 5.4023412e-05 |
| 8,978 | Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases | 2025 | SIGMOD | 5.3406001e-05 |
| 10,115 | Hash Joins Meet CXL: A Fresh Look | 2026 | CIDR | 5.093636e-05 |
| 10,545 | SIDLE: Tree-structure Aware Indexes for CXL-based Heterogeneous Memory | 2026 | VLDB | 5.093636e-05 |
| 10,989 | Selective Late Materialization in Modern Analytical Databases | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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