Emerging Non-volatile Memory Technologies Exploration Flow for Processor Architecture - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Emerging Non-volatile Memory Technologies Exploration Flow for Processor Architecture

Sophiane Senni
  • Fonction : Auteur
  • PersonId : 1045499
Lionel Torres
Gilles Sassatelli
Abdoulaye Gamatié
Bruno Mussard
  • Fonction : Auteur

Résumé

Most die area of today's systems-on-chips is occupied by memories. Hence, a significant proportion of total power is spent on memory systems. Moreover, since processing elements have to be fed with instructions and data from memories, memory plays a key role for system's performance. As a result, memories are a critical part of future embedded systems. Continuing CMOS scaling leads to manufacturing constraints and power consumption issues for the current three main memory technologies, i.e. SRAM, DRAM and FLASH, which compromises further evolution in upcoming technology node. To face these challenges, new non-volatile memory technologies emerged in recent years. Among these technologies, magnetic RAM (MRAM) is a promising candidate to replace existing memories since it combines non-volatility, high scalability, high density, low latency, and low leakage. This paper describes an evaluation flow to explore next generation of the memory hierarchy of processor-based systems using new non-volatile memory technologies.
Fichier principal
Vignette du fichier
ISVLSI_2015_camera_ready.pdf (939.64 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

lirmm-01253337 , version 1 (09-01-2016)

Identifiants

Citer

Sophiane Senni, Lionel Torres, Gilles Sassatelli, Abdoulaye Gamatié, Bruno Mussard. Emerging Non-volatile Memory Technologies Exploration Flow for Processor Architecture. ISVLSI 2015 - International Symposium on Very Large Scale Integration, Jul 2015, Montpellier, France. pp.460-465, ⟨10.1109/ISVLSI.2015.126⟩. ⟨lirmm-01253337⟩
201 Consultations
514 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More