Model-Based Write Algorithm for Memristive Crossbar Arrays

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

In this paper, we propose a model-based write algorithm for memristive crossbar arrays employing 1 R analogswitching devices significantly improving write process efficiency over the conventional write-and-verify tuning algorithm. Leveraging a physics-based compact memristor model, we evaluate the V/2, V/3 and floating crossbar writing schemes and implement the novel developed algorithm based on the pulse time. Simulations of various crossbar sizes are conducted, assessing critical parameters including energy consumption, conductance overshoot, write time, number of iterations, and unselected cell error. We developed a versatile simulation platform that enables simulation of any SPICE-compatible memristor models, incorporating parasitic circuit elements like capacitances. The proposed algorithm significantly reduces the number of write iterations and time by half, while also lowering energy consumption and enhancing overall write accuracy.

Details

Original languageEnglish
Title of host publication2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (electronic)979-8-3315-3914-6
ISBN (print)979-8-3315-3915-3
Publication statusPublished - 13 Jun 2025
Peer-reviewedYes

Conference

Title14th International Conference on Modern Circuits and Systems Technologies
Abbreviated titleMOCAST 2025
Conference number14
Duration11 - 13 June 2025
Website
LocationTechnische Universität Dresden
CityDresden
CountryGermany

External IDs

ORCID /0000-0002-1236-1300/work/188859406
ORCID /0000-0001-7436-0103/work/188859568
ORCID /0000-0003-3259-4571/work/188860246
ORCID /0000-0003-3814-0378/work/188860461

Keywords

Keywords

  • Accuracy, Capacitance, Circuits and systems, Energy consumption, Integrated circuit modeling, Memristors, Switching circuits, Tuning, Writing