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Case Study on Memristor-Based Multilevel Memories

Title data

Söll, Christopher ; Reichenbach, Marc ; Röber, Jürgen ; Hagelauer, Amelie ; Weigel, Robert ; Fey, Dietmar:
Case Study on Memristor-Based Multilevel Memories.
In: International Journal of Circuit Theory and Applications. Vol. 46 (2018) Issue 1 . - pp. 99-112.
ISSN 1097-007X
DOI: https://doi.org/10.1002/cta.2379

Abstract in another language

In this work, the benefits of memristor-based multilevel memories are described along with their design problems. Starting with measurements of discrete actual devices, a discrete memristor based multilevel memory is developed. It uses a printed circuit board in order to connect eight packaged memristors from Bio Inspired to test a ternary Arithmetic Logic Unit (ALU) on a field programmable gate array (FPGA). These circuits are then integrated in the second proposed memory system based on a 150nm CMOS process that can be equipped with memristors on top of the metal layers. This integrated solution includes proper read-out, erase and write circuits to control real memristors, and 32x32 memristive memory cells. It is compared to a common static random-access memory (SRAM) in terms of area, computation speed and power consumption showing benefits for memory sizes bigger than 70 words. Since yield and device variations are still a big issue in memristor fabrication, methods to counter these problems are also proposed in the end. An actual implementation should offer several trimming solutions to ensure proper functionality of a prototype memory as well as a power-on calibration, until these problems are solved. The development of the presented memories is not only based on different models but also measurements done with real devices.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Memristor; Multi-Level Memory; Memory Interface; Memristive Computing; GRK-1773
Institutions of the University: Faculties > Faculty of Engineering Science > >
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 18 Oct 2019 09:36
Last Modified: 18 Oct 2019 09:36
URI: https://eref.uni-bayreuth.de/id/eprint/52558