Dash: Scalable Hashing on Persistent Memory
Summary: Dash: scalable, dynamic hashing on real byte-addressable persistent memory (Optane DCPMM). Adapts extendible and linear hashing; delivers up to 3.9x throughput, about 90% load factor, and 57 ms instant recovery on 24 cores, outperforming emulation-based approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Baotong Lu
- 2. Xiangpeng Hao
- 3. Tianzheng Wang
- 4. Eric Lo
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,504 | Cache-Oblivious Hashing | 2010 | PODS | - |
| 10,307 | SHARD: A Scalable and Resize-optimized Hash Index on Disaggregated Memory | 2026 | VLDB | 4.1945683e-05 |
| 4,149 | Memory-Contention Responsive Hash Joins | 1994 | VLDB | 6.4078379e-05 |
| 3,525 | Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory | 2020 | VLDB | 7.0080401e-05 |
| 9,882 | DASH: Asynchronous Hardware Data Processing Services | 2023 | CIDR | 4.2643674e-05 |
| 7,792 | IcebergHT: High Performance Hash Tables Through Stability and Low Associativity | 2023 | SIGMOD | 4.6494835e-05 |
| 6,785 | Halo: A Hybrid PMem-DRAM Persistent Hash Index with Fast Recovery | 2022 | SIGMOD | 4.9260601e-05 |
| 7,024 | Plush: A Write-Optimized Persistent Log-Structured Hash-Table | 2022 | VLDB | 4.8575128e-05 |
| 8,219 | Pea Hash: A Performant Extendible Adaptive Hashing Index | 2023 | SIGMOD | 4.5565914e-05 |
| 4,903 | Persistent Memory Hash Indexes: An Experimental Evaluation | 2021 | VLDB | 5.8399968e-05 |