Relaxation-Aware Programming in RRAM: Evaluating and Optimizing Write Termination

Resistive random access memory (RRAM) is a promising non-volatile memory technology, but relaxation effects cause conductance drift, impacting memory stability. This work investigates the impact of write termination (WT) on relaxation, showing that WT increases drift, especially at lower SET voltages, despite its energy efficiency benefits. To mitigate this, we propose to finely combine an overdrive voltage during SET operation. This technique consists of an increase on SET programming voltage by 0.2 Arbitrary Unit (AU), and results in conductance variability reduction, while maintaining WT’s power efficiency. Experimental results confirm that SET-overdriven WT achieves a memory window comparable to constant-duration SET, making WT robust to relaxation.

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Published
2025-05-18
DOI
https://doi.org/10.1109/imw61990.2025.11026925
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Relaxation-Aware Programming in RRAM: Evaluating and Optimizing Write Termination

G. Molas, Gaël Pillonnet, Bastien Giraud, G. Piccolboni et al.
Advanced Memory and Neural Computing
article

Relaxation-Aware Programming in RRAM: Evaluating and Optimizing Write Termination

G. Molas, Gaël Pillonnet, Bastien Giraud, G. Piccolboni, M. Drouard, M. Correa Cueto
article en

Abstract

Resistive random access memory (RRAM) is a promising non-volatile memory technology, but relaxation effects cause conductance drift, impacting memory stability. This work investigates the impact of write termination (WT) on relaxation, showing that WT increases drift, especially at lower SET voltages, despite its energy efficiency benefits. To mitigate this, we propose to finely combine an overdrive voltage during SET operation. This technique consists of an increase on SET programming voltage by 0.2 Arbitrary Unit (AU), and results in conductance variability reduction, while maintaining WT’s power efficiency. Experimental results confirm that SET-overdriven WT achieves a memory window comparable to constant-duration SET, making WT robust to relaxation.

Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CEA Grenoble (FR), Laboratoire d'Électronique des Technologies de l'Information (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 89%
Advanced Memory and Neural Computing
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Relaxation-Aware Programming in RRAM: Evaluating and Optimizing Write Termination — G. Molas, Gaël Pillonnet, et al. · (2025) | TGRS Research Map | TGRS