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)
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Authors
- 1. Shuang Chen (Nanyang Technological University; Shanghai Jiao Tong University)
- 2. Shunning Jiang (Nanyang Technological University; Shanghai Jiao Tong University)
- 3. Bingsheng He (Nanyang Technological University)
- 4. Xueyan Tang (Nanyang Technological University)
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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