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Memristors: In‐Memory Hamming Weight Calculation in a 1T1R Memristive Array (Adv. Electron. Mater. 9/2020)
Author(s) -
Cheng Long,
Li Jiancong,
Zheng HaoXuan,
Yuan Peng,
Yin Jiahao,
Yang Ling,
Luo Qing,
Li Yi,
Lv Hangbing,
Chang TingChang,
Miao Xiangshui
Publication year - 2020
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.202070036
Subject(s) - memristor , hamming weight , binary number , hamming distance , multiplication (music) , hamming code , string (physics) , computer science , materials science , parallel computing , algorithm , arithmetic , electronic engineering , mathematics , physics , engineering , quantum mechanics , block code , combinatorics , decoding methods
An efficient method to calculate the Hamming weight (HW) of a binary string in a memristive array is proposed by Yi Li, Xiangshui Miao, and co‐workers in article number 2000457. The in‐memory HW calculation is implemented by a binary matrix multiplication or AND logic operation, the result of which is read out through a current accumulation operation. This work is a showcase of efficient memristive computing.