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Towards energy efficient hybrid on-chip scratch pad memory with non-volatile memory

  • University of Texas at Dallas
  • City University of Hong Kong
  • Hunan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Scratch Pad Memory (SPM), a software-controlled on-chip memory, has been widely adopted in many embedded systems due to its small area and low power consumption. As technology scaling reaches the sub-micron level, leakage energy consumption is surpassing dynamic energy consumption and becoming a critical issue. In this paper, we propose a novel hybrid SPM which consists of non-volatile memory (NVM) and SRAM to take advantage of the ultra-low leakage power consumption and high density of NVM as well as the efficient writes of SRAM. A novel dynamic data allocation algorithm is proposed to make use of the full potential of both NVM and SRAM. According to the experimental results, with the help of the proposed algorithm, the novel hybrid SPM architecture can reduce memory access time by 18.17%, dynamic energy by 24.29%, and leakage power by 37.34% on average compared with a pure SRAM based SPM with the same size area.

Original languageEnglish
Title of host publicationProceedings - Design, Automation and Test in Europe Conference and Exhibition, DATE 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages746-751
Number of pages6
ISBN (Print)9783981080179
DOIs
StatePublished - 2011
Externally publishedYes
Event14th Design, Automation and Test in Europe, DATE 2011 - Grenoble, France
Duration: 14 Apr 2014 → 18 Apr 2014

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Conference

Conference14th Design, Automation and Test in Europe, DATE 2011
Country/TerritoryFrance
CityGrenoble
Period14/04/14 → 18/04/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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