Spintronic Memory-Based Reconfigurable Computing - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles SPIN Year : 2013

Spintronic Memory-Based Reconfigurable Computing

Abstract

Reconfigurable computing provides a number of advantages such as low Research and Development (R&D) cost and design flexibility when compared to application specific logic circuits (ASLC). However its low power efficiency greatly limits its applications. One of the major reasons of this shortcoming is that Static Random Access Memory (SRAM)-based configuration memory occupies a large die area and consumes high static power. The later is more severe due to the rapidly increasing leakage currents, which are intrinsic and become worse following the fabrication node shrinking. Spintronic memories (e.g., STT-MRAM and racetrack memory (RM)) are emerging nonvolatile memory technologies under intense investigation by both academics and industries. They promise ultra-high storage density, nonvolatility and low power. In this paper, we review the current status of spintronic memories for reconfigurable computing, the related device-circuit-system design requirements and present its perspectives. Mixed simulations based on spintronic device compact models show its high density and low power performance when compared to conventional SRAM-based reconfigurable computing.
No file

Dates and versions

lirmm-01306317 , version 1 (22-04-2016)

Identifiers

Cite

Weisheng Zhao, Raphael Martins Brum, Lionel Torres, Jacques-Olivier Klein, Gilles Sassatelli, et al.. Spintronic Memory-Based Reconfigurable Computing. SPIN, 2013, 3 (4), pp.1340010. ⟨10.1142/S2010324713400109⟩. ⟨lirmm-01306317⟩
116 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More