Plush: A Write-Optimized Persistent Log-Structured Hash-Table
Summary: Plush is a write-optimized persistent log-structured hash table supporting variable-length records with minimal PMem read/write amplification and low DRAM use. It cuts media write amplification by 80%, delivering up to 2.44× faster inserts than PMem hash tables. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lukas Vogel (Technical University of Munich)
- 2. Alexander van Renen (Friedrich-Alexander University Erlangen-Nuremberg)
- 3. Satoshi Imamura (Fujitsu Laboratories)
- 4. Jana Giceva (Technical University of Munich)
- 5. Thomas Neumann (Technical University of Munich)
- 6. Alfons Kemper (Technical University of Munich)
BibTeX Citation
@article{vogel_vldb22,
title = {{Plush: A Write-Optimized Persistent Log-Structured Hash-Table}},
author = {Vogel, Lukas and van Renen, Alexander and Imamura, Satoshi and Giceva, Jana and Neumann, Thomas and Kemper, Alfons},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2895--2907},
doi = {10.14778/3551793.3551839},
url = {https://doi.org/10.14778/3551793.3551839},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,022 | SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure | 2024 | VLDB | 5.6190564e-05 |
| 8,642 | OptiQL: Robust Optimistic Locking for Memory-Optimized Indexes | 2023 | SIGMOD | 5.2957446e-05 |
| 9,064 | A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory | 2023 | VLDB | 5.2283159e-05 |
| 9,562 | H-Rocks: CPU-GPU accelerated Heterogeneous RocksDB on Persistent Memory | 2025 | SIGMOD | 5.1571823e-05 |
| 9,647 | Sphinx: A Succinct Perfect Hash Index for x86 | 2025 | VLDB | 5.1453267e-05 |
| 10,750 | Operation-Aware Hybrid Locking for Modern In-Memory Indexes | 2026 | VLDB | 4.9793485e-05 |
| 10,777 | Succinct and Fast Tiny Pointer Hash Tables | 2026 | VLDB | 4.9793485e-05 |
| 10,807 | dpKernels: Harvesting DPU Compute Resources for Data-path Efficiency in Cloud Data Processing | 2026 | VLDB | 4.9793485e-05 |
| 11,674 | Data Pipes: Declarative Control over Data Movement | 2023 | CIDR | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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