@inproceedings{bb27d11820b04d2f92fe8a684824e353,
title = "A Re-configurable Memristor Array Structure for In-Memory Computing Applications",
abstract = "The memristor-based array architecture promises an efficient analog implementation of the multiply-add engine that can have significant impact in signal processing and neural network implementations. The ability to represent a negative conductance value to correspond to a negative matrix element is one of the main challenges associated with analog memristor array implementation. In this paper, a re-configurable general purpose single array architecture is proposed to realize a multiply-add operation that allows both positive and negative conductance values. The architecture utilizes memristor devices with two different characteristics, one for computation and one for storage. The proposed design has been verified using LTSpice circuit simulator. Several cases with different combinations of polarities for the input voltage and conductance values were demonstrated.",
keywords = "analog inmemory computing, Memristor, multiply-add, negative conductance, neural network",
author = "Yasmin Halawani and Baker Mohammad and Mahmoud Al-Qutayri and Said Al-Sarawi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th International Conference on Microelectronics, ICM 2018 ; Conference date: 16-12-2018 Through 19-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ICM.2018.8704111",
language = "British English",
series = "Proceedings of the International Conference on Microelectronics, ICM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "160--163",
booktitle = "Proceeding of 2018 30th International Conference on Microelectronics, ICM 2018",
address = "United States",
}