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Hamming Tree: The Case for Energy-Aware Indexing for NVMs

Summary: Hamming Tree: a software-level, memory-aware index for NVMs that minimizes bit flips by steering writes to segments, saving energy and wear. On Optane, it achieves up to 67.8% energy reduction, underscoring energy-aware indexing for NVM endurance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6747
Venue
SIGMOD
Year
2023
Pagerank
5.3599647e-05
Overall Rank
8,833 | 39.40%
DOI
10.1145/3589327

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kargar_sigmod23,
        title = {{Hamming Tree: The Case for Energy-Aware Indexing for NVMs}},
        author = {Kargar, Saeed and Nawab, Faisal},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589327},
        url = {https://dl.acm.org/doi/10.1145/3589327},
        year = {2023}
}

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