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Toward Write Optimization for Skyrmion Racetrack Memory by Skyrmion Repermutation

  • Tsun Yu Yang
  • , Xiangjun Peng
  • , Wang Kang
  • , Ming Chang Yang*
  • *此作品的通讯作者
  • Chinese University of Hong Kong

科研成果: 期刊稿件文章同行评审

摘要

Skyrmion racetrack memory (Sky-RM), as an emerging nonvolatile memory technology, provides both high-density data storage and low-access latency, accompanying with a novel feature of using current to shift data along a racetrack. However, it is time-comsuing and energy-hungry to write/inject new particle-like Skyrimons on Sky-RM compared with other manipulations. Thus, the goal of this work is to presents a novel strategy to optimize write performance in Sky-RM, permutation-write (PW). Particularly, PW reduces the number of Skyrmion injections when writing data, by 'repermuting' existing Skyrmion particles within a racetrack. Moreover, based on the flexible concept of repermutation, this work further proposes PW+ strategy, which is an optimized PW strategy integrated with injection and shift optimizations to achieve better performance. Our evaluation results justify that PW+ can greatly reduce the amount of Skyrmion injections, which are considered highly expensive in Sky-RM, by at least 50%, compared with other state-of-the-art write-optimized strategies. Furthermore, PW+ only incurs 1.79 injections, averaged for every 64-bit-word write. We show that PW+ strategy can bring significant benefits over other state-of-the-art write-optimized strategies by about 16%-50% for every 64-bit-word write, for both performance and energy efficiency.

源语言英语
页(从-至)1769-1780
页数12
期刊IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
43
6
DOI
出版状态已出版 - 1 6月 2024

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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