Robust Performance of Main Memory Data Structures by Configuration
Summary: Decouples data-structure design from access execution through configurable strategies, enabling robust performance across hardware generations and workloads. Demonstrates gains on individual structures and OLTP workloads with adaptable configurations rather than hard-wired optimizations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tiemo Bang (SAP; Technical University of Darmstadt)
- 2. Ismail Oukid (Snowflake)
- 3. Norman May (SAP)
- 4. Ilia Petrov (Reutlingen University)
- 5. Carsten Binnig (Technical University of Darmstadt)
BibTeX Citation
@inproceedings{bang_sigmod20,
title = {{Robust Performance of Main Memory Data Structures by Configuration}},
author = {Bang, Tiemo and Oukid, Ismail and May, Norman and Petrov, Ilia and Binnig, Carsten},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389725},
url = {https://dl.acm.org/doi/10.1145/3318464.3389725},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,234 | MxTasks: How to Make Efficient Synchronization and Prefetching Easy | 2021 | SIGMOD | 6.3051801e-05 |
| 6,396 | Contention and Space Management in B-Trees | 2021 | CIDR | 5.8870425e-05 |
| 9,547 | Tabular: Efficiently Building Efficient Indexes | 2025 | VLDB | 5.2528121e-05 |
| 10,479 | P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction | 2026 | SIGMOD | 5.093636e-05 |
| 10,696 | OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML | 2025 | SIGMOD | 5.093636e-05 |
| 11,628 | AnyDB: An Architecture-less DBMS for Any Workload | 2021 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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