Design and Evaluation of a 28-nm FD-SOI STT-MRAM for Ultra-Low Power microcontrollers - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Accéder directement au contenu
Article Dans Une Revue IEEE Access Année : 2019

Design and Evaluation of a 28-nm FD-SOI STT-MRAM for Ultra-Low Power microcontrollers

Guillaume Patrigeon
Pascal Benoit
Lionel Torres
Sophiane Senni
  • Fonction : Auteur
  • PersonId : 1045499

Résumé

The complexity of embedded devices increases as today's applications request always more services. However, the power consumption of systems-on-chip has significantly increased due to the high-density integration and the high leakage power of current CMOS transistors. To address these issues, emerging technologies are considered. Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM) is seen as a promising alternative solution to traditional memories thanks to its negligible leakage current, high density, and non-volatility. In this work, we present the design and evaluation of a 128 kB STT-RAM in 28-nm FD-SOI technology with SRAM-like interface for ultra-low power microcontrollers. With 0.9 pJ/bit read in 5 ns and 3 pJ/bit write in 10 ns, this embedded non-volatile memory is suitable for devices that run at frequencies under 100 MHz. Considering low-power application with duty-cycled behaviour, we evaluate the STT-MRAM as a replacement of embedded Flash and SRAM by comparing single and multi-memory architecture scenarios.
Fichier principal
Vignette du fichier
Design and Evaluation of a 28-nm FD-SOI STT-MRAM for Ultra-Low Power microcontrollers - C (HAL).pdf (1.02 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

lirmm-02079679 , version 1 (13-05-2019)

Identifiants

Citer

Guillaume Patrigeon, Pascal Benoit, Lionel Torres, Sophiane Senni, Guillaume Prenat, et al.. Design and Evaluation of a 28-nm FD-SOI STT-MRAM for Ultra-Low Power microcontrollers. IEEE Access, 2019, 7, pp.58085-58093. ⟨10.1109/ACCESS.2019.2906942⟩. ⟨lirmm-02079679⟩
312 Consultations
600 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More