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A Study of Sorting Algorithms on Approximate Memory

Summary: Study of sorting on hybrid precise/approximate memory; three sorts. Proposes approx-refine: offload to approximate storage, and refine to precise output; yields 95% sorted accuracy with up to 40% write-latency reduction and up to 11% mem-access-time savings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5161
Venue
SIGMOD
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,033 | 17.45%
DOI
10.1145/2882903.2882908

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BibTeX Citation

@inproceedings{chen_sigmod16,
        title = {{A Study of Sorting Algorithms on Approximate Memory}},
        author = {Chen, Shuang and Jiang, Shunning and He, Bingsheng and Tang, Xueyan},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882908},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882908},
        year = {2016}
}

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