Metal Oxide-enabled Reconfigurable Memristive Threshold Logic Gates

G. Papandroulidakis, A. Khiat, A. Serb, S. Stathopoulos, L. Michalas, T. Prodromakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

With the recent advances of the emerging memories technologies, research are able to implement novel circuits, systems and computer architectures towards the design of high-performance and low-power electronic systems able to accelerate and/or optimize the functionality of many computer workflows. One emerging technology, the ReRAM/memristor is gathering attention due to its inherent advantages for logic and memory computing systems. At the same time, CMOS circuit design seems to have reached a limit, where easily optimized circuit solutions cannot be found. Thus, further research towards novel logic gate families, such as Threshold Logic Gates (TLGs), a logic family known for its high-speed and low power consumption, is needed. Although many implementation concepts of TLG circuit are using memristors, few of these implementations are based on physical ReRAM devices. In this work we are proposing a memristor-based threshold logic gate design towards the optimization of computer workflows. The presented results include a physical implementation of the proposed circuits which supports the concept of memory-based reconfigurable computing circuits and systems.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648810
Publication statusPublished - 4 May 2018
Event2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy
Duration: 27 May 201830 May 2018

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310


Conference2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018

Keywords / Materials (for Non-textual outputs)

  • artificial neural networks
  • Current-Mode
  • memristive neural networks
  • memristor
  • reconfigurable
  • ReRAM
  • synaptic weight
  • Threshold Logic Gates


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