Energy-efficient Brainware LSI Based on Stochastic Computation

• ONIZAWA Naoya

  Frontier Research Institute for Interdisciplinary Sciences, Tohoku University

• MATSUMIYA Kazumichi

  Research Institute of Electrical Communication, Tohoku University

• HANYU Takahiro

  Research Institute of Electrical Communication, Tohoku University

Bibliographic Information

Other Title

• ストカスティック演算に基づく省エネルギー脳型LSI設計技術

Abstract

Stochastic computation has recently been studied for soft-error-resilient hardware and approximate computing, such as image processing, machine learning, and deep neural networks. This paper reviews stochastic computation and discusses the advantages and disadvantages along with the recent developments in hardware. In addition, stochastic-computation-based brainware LSIs (BLSIs) for vision information processing are introduced and discussed in terms of energy efficiency.

Journal

• IEICE ESS Fundamentals Review

  IEICE ESS Fundamentals Review 11 (1), 28-39, 2017

  The Institute of Electronics, Information and Communication Engineers

Keywords

• probabilistic computation
• visual information processing
• signal processing
• CMOS digital circuits
• deep learning

Details

• CRID: 1390001205343234688
• NII Article ID: 130006903448
• DOI: 10.1587/essfr.11.1_28
• ISSN: 18820875
• Web Site: https://www.jstage.jst.go.jp/article/essfr/11/1/11_28/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed