Analog-to-stochastic converter using magnetic-tunnel junction devices

Naoya Onizawa, Daisaku Katagiri, Warren J. Gross, Takahiro Hanyu

研究成果: Conference contribution

19 被引用数 (Scopus)

抄録

This paper introduces an analog-to-stochastic converter using a magnetic-tunnel junction (MTJ) device for stochastic computation. Stochastic computation has recently been exploited for area-efficient hardware implementation, such as low-density parity-check (LDPC) decoders and image processors. However, power-and-area hungry analog-to-digital and digital-to-stochastic converters are required for the analog to stochastic signal conversion. The MTJ devices exhibit probabilistic switching behaviour between two resistance states. Exploiting the probabilistic behaviour, analog signals can be directly converted to stochastic signals to mitigate the signal-conversion overhead. The analog-to-stochastic signal conversion is mathematically described and the conversion circuit is designed based on a transistor/MTJ hybrid structure. The conversion characteristic is evaluated using device and circuit parameters that determines proper parameters for designing the analog-to-stochastic con-verter.

本文言語English
ホスト出版物のタイトルProceedings of the 2014 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2014
出版社IEEE Computer Society
ページ59-64
ページ数6
ISBN(印刷版)9781479963836
DOI
出版ステータスPublished - 2014 1 1
イベント2014 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2014 - Paris, France
継続期間: 2014 7 82014 7 10

出版物シリーズ

名前Proceedings of the 2014 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2014

Other

Other2014 IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2014
国/地域France
CityParis
Period14/7/814/7/10

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 電子工学および電気工学

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