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
- 2. Ismail Oukid
- 3. Norman May
- 4. Ilia Petrov
- 5. Carsten Binnig
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,760 | MxTasks: How to Make Efficient Synchronization and Prefetching Easy | 2021 | SIGMOD | 5.3369902e-05 |
| 8,032 | Contention and Space Management in B-Trees | 2021 | CIDR | 4.5983032e-05 |
| 9,401 | Tabular: Efficiently Building Efficient Indexes | 2025 | VLDB | 4.3399748e-05 |
| 10,190 | P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction | 2026 | SIGMOD | 4.1905499e-05 |
| 10,422 | OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML | 2025 | SIGMOD | 4.1905499e-05 |
| 11,433 | AnyDB: An Architecture-less DBMS for Any Workload | 2021 | CIDR | 4.1905499e-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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