NoC-MRAM architecture for memory-based computing: Database-search case study

M. Rizk, J. Ph Diguet, N. Onizawa, A. Baghdadi, M. J. Sepulveda, Y. Akgul, V. Gripon, T. Hanyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The paper presents a novel flexible low-power architecture for memory-based computing that relies on a NoC and power-gated distributed MRAM. The proposed approach is demonstrated with a database search application implemented with a Sparse-Neural-Network (SNN). Multiple SystemC simulations have been conducted over the MRAM-based computing architecture targeting hundreds of database queries. The results show hit rates of about 95%, impressive power gains compared to SRAM, and significant impact of power-gating. The results also provide an evidence on the feasibility of using power-gated MRAM associated with a NoC as a solution for low power implementation of memory-based computing.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages309-312
Number of pages4
ISBN (Electronic)9781509049905
DOIs
Publication statusPublished - 2017 Aug 11
Event15th IEEE International New Circuits and Systems Conference, NEWCAS 2017 - Strasbourg, France
Duration: 2017 Jun 252017 Jun 28

Publication series

NameProceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017

Other

Other15th IEEE International New Circuits and Systems Conference, NEWCAS 2017
CountryFrance
CityStrasbourg
Period17/6/2517/6/28

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Hardware and Architecture

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