Memristors: In‐Memory Hamming Weight Calculation in a 1T1R Memristive Array (Adv. Electron. Mater. 9/2020) | Zendy

Cheng Long | Zendy; Li Jiancong | Zendy; Zheng HaoXuan | Zendy; Yuan Peng | Zendy; Yin Jiahao | Zendy; Yang Ling | Zendy; Luo Qing | Zendy; Li Yi | Zendy; Lv Hangbing | Zendy; Chang TingChang | Zendy; Miao Xiangshui | Zendy

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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.

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