Model-Based Write Algorithm for Memristive Crossbar Arrays

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
Titel2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seiten1-4
Seitenumfang4
ISBN (elektronisch)979-8-3315-3914-6
ISBN (Print)979-8-3315-3915-3
PublikationsstatusVeröffentlicht - 13 Juni 2025
Peer-Review-StatusJa

Konferenz

Titel14th International Conference on Modern Circuits and Systems Technologies
KurztitelMOCAST 2025
Veranstaltungsnummer14
Dauer11 - 13 Juni 2025
Webseite
OrtTechnische Universität Dresden
StadtDresden
LandDeutschland

Externe 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

Schlagworte

Schlagwörter

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