@inproceedings{15d6e36d30f24d9b8ccb5d2496bfbe5d,
title = "In-memory hamming similarity computation in resistive arrays",
abstract = "This paper develops a framework to calculate Hamming similarity between vectors stored in resistive memory. A single-parameter model is proposed for the resistive measurement channel, which is then used to analytically reveal an interesting tradeoff between this parameter and succeeding in the calculation task. We suggest coding techniques that can improve this tradeoff under natural usage assumptions. The proposed constructions work to change the Hamming weight of the stored vectors without corrupting the Hamming distance between pairs of vectors.",
author = "Yuval Cassuto and Koby Crammer",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Information Theory, ISIT 2015 ; Conference date: 14-06-2015 Through 19-06-2015",
year = "2015",
month = sep,
day = "28",
doi = "https://doi.org/10.1109/ISIT.2015.7282569",
language = "الإنجليزيّة",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "819--823",
booktitle = "Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015",
}