Zombie Hashing: Reanimating Tombstones in a Graveyard
Summary: Zombie hashing deamortizes tombstone handling in linear probing, redistributing tombstones in windows. Ordered (compact) and unordered (vectorized) deliver asymptotically optimal deamortization with ~95% space, high throughput, and low latency. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuvaraj Chesetti (Northeastern University)
- 2. Benwei Shi (University of Utah)
- 3. Jeff M. Phillips (University of Utah)
- 4. Prashant Pandey (Northeastern University)
BibTeX Citation
@inproceedings{chesetti_sigmod25,
title = {{Zombie Hashing: Reanimating Tombstones in a Graveyard}},
author = {Chesetti, Yuvaraj and Shi, Benwei and Phillips, Jeff M. and Pandey, Prashant},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725424},
url = {https://dl.acm.org/doi/10.1145/3725424},
year = {2025}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,434 | Breadcrumb Filters: Fast Fully Featured Filters | 2026 | SIGMOD | 5.093636e-05 |
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