A4 Refereed article in a conference publication
Associative search using pseudo-analog memristors
Authors: Laiho Mika, Grönroos Mika, Poikonen Jussi, Lehtonen Eero, Katsumura Reon, T.-Fukuchi Atsushi, Arita Masashi, Takahashi Yasuo
Editors: No available
Conference name: IEEE International Symposium on Circuits and Systems
Publication year: 2017
Book title : 2017 IEEE International Symposium on Circuits and Systems (ISCAS)
First page : 2727
Last page: 2730
Number of pages: 4
ISBN: 978-1-5090-1427-9
eISBN: 978-1-4673-6853-7
ISSN: 0271-4302
DOI: https://doi.org/10.1109/ISCAS.2017.8050986
In this paper we consider using memristors for high-dimensional
computing that requires very large associative memories, but generally
has good tolerance to nonidealities in the implementation medium. To
consider such computing with existing devices, we present measurements
of a tantalum oxide memristor that can be programmed to resistance
values between high resistance state and low resistance state. Based on
the measurements, we estimate the variation in the resistance states,
and describe how a pseudo-analog programming operation can be used for
trimming ON-resistance values. Finally, we discuss how different memory
initialization and programming approaches affect the reliability of an
associative search.
