Analog implementation of arithmetic operations on real memristors

Thore Kolms; Andreas Waldner; Christine Lang; Philipp Grothe; Jan Haase

doi:10.1145/3378678.3391883

Analog implementation of arithmetic operations on real memristors

Thore Kolms, Andreas Waldner, Christine Lang, Philipp Grothe, Jan Haase

Institut für Technische Informatik

3 Zitate (Scopus)

Abstract

The upcoming topic of in-memory-computing tries to support CPUs by taking over simple calculations that can be done in memory. This leads to less performance drain caused by those simple calculations as well as lower energy consumption for the whole system, which is particularly important for embedded systems. Memristors are variable and non-volatile resistors that can be used to store analog values. This makes them suitable for in-memory computing. In this paper, a prototypical implementation of analog calculations (addition, subtraction, multiplication) is described. The prototype is based on an ESP32 microcontroller. Typical calculations currently take around 1μs.

Originalsprache	Englisch
Titel	SCOPES '20: Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems
Redakteure/-innen	Sander Stuijk
Seitenumfang	4
Erscheinungsort	New York
Herausgeber (Verlag)	ACM
Erscheinungsdatum	25.05.2020
Seiten	54–57
ISBN (Print)	978-1-4503-7131-5
DOIs	https://doi.org/10.1145/3378678.3391883
Publikationsstatus	Veröffentlicht - 25.05.2020
Veranstaltung	23rd International Workshop on Software and Compilers for Embedded Systems - Schloss Rheinfels, St. Goar, Deutschland Dauer: 25.05.2020 → 26.05.2020 Konferenznummer: 160114

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title = "Analog implementation of arithmetic operations on real memristors",

abstract = "The upcoming topic of in-memory-computing tries to support CPUs by taking over simple calculations that can be done in memory. This leads to less performance drain caused by those simple calculations as well as lower energy consumption for the whole system, which is particularly important for embedded systems. Memristors are variable and non-volatile resistors that can be used to store analog values. This makes them suitable for in-memory computing. In this paper, a prototypical implementation of analog calculations (addition, subtraction, multiplication) is described. The prototype is based on an ESP32 microcontroller. Typical calculations currently take around 1μs.",

author = "Thore Kolms and Andreas Waldner and Christine Lang and Philipp Grothe and Jan Haase",

note = "Publisher Copyright: {\textcopyright} 2020 ACM. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 23rd International Workshop on Software and Compilers for Embedded Systems <br/>, SCOPES 2020 ; Conference date: 25-05-2020 Through 26-05-2020",

year = "2020",

month = may,

day = "25",

doi = "10.1145/3378678.3391883",

language = "English",

isbn = "978-1-4503-7131-5",

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editor = "Stuijk, \{ Sander \}",

booktitle = "SCOPES '20: Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems",

publisher = "ACM",

}

Kolms, T, Waldner, A, Lang, C, Grothe, P & Haase, J 2020, Analog implementation of arithmetic operations on real memristors. in S Stuijk (Hrsg.), SCOPES '20: Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems. ACM, New York, S. 54–57, 23rd International Workshop on Software and Compilers for Embedded Systems
, St. Goar, Rheinland-Pfalz, Deutschland, 25.05.20. https://doi.org/10.1145/3378678.3391883

Analog implementation of arithmetic operations on real memristors. / Kolms, Thore; Waldner, Andreas; Lang, Christine et al.
SCOPES '20: Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems. Hrsg. / Sander Stuijk. New York: ACM, 2020. S. 54–57.

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Analog implementation of arithmetic operations on real memristors

AU - Kolms, Thore

AU - Waldner, Andreas

AU - Lang, Christine

AU - Grothe, Philipp

AU - Haase, Jan

N1 - Conference code: 160114

PY - 2020/5/25

Y1 - 2020/5/25

N2 - The upcoming topic of in-memory-computing tries to support CPUs by taking over simple calculations that can be done in memory. This leads to less performance drain caused by those simple calculations as well as lower energy consumption for the whole system, which is particularly important for embedded systems. Memristors are variable and non-volatile resistors that can be used to store analog values. This makes them suitable for in-memory computing. In this paper, a prototypical implementation of analog calculations (addition, subtraction, multiplication) is described. The prototype is based on an ESP32 microcontroller. Typical calculations currently take around 1μs.

AB - The upcoming topic of in-memory-computing tries to support CPUs by taking over simple calculations that can be done in memory. This leads to less performance drain caused by those simple calculations as well as lower energy consumption for the whole system, which is particularly important for embedded systems. Memristors are variable and non-volatile resistors that can be used to store analog values. This makes them suitable for in-memory computing. In this paper, a prototypical implementation of analog calculations (addition, subtraction, multiplication) is described. The prototype is based on an ESP32 microcontroller. Typical calculations currently take around 1μs.

UR - https://www.scopus.com/pages/publications/85086742768

U2 - 10.1145/3378678.3391883

DO - 10.1145/3378678.3391883

M3 - Conference contribution

SN - 978-1-4503-7131-5

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EP - 57

BT - SCOPES '20: Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems

A2 - Stuijk, Sander

PB - ACM

CY - New York

T2 - 23rd International Workshop on Software and Compilers for Embedded Systems <br/>

Y2 - 25 May 2020 through 26 May 2020

ER -

Analog implementation of arithmetic operations on real memristors

Abstract

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