Advancing device-based computing by simplifying circuit complexity

  • Park, Tae Hyun
  • Kim, Min Seo
  • Seo, Ju Hyung
  • Kim, Young Joon
  • Trivedi, Amit Ranjan
  • 외 2명
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초록

With Moore's law approaching its scaling limits, the quest for higher integration density in computing devices has become increasingly challenging. Device-based computer architecture can achieve circuit compaction by creating devices with a simpler circuit tailored for specific purposes. However, paradoxically, many of these devices require a greater number of transistors or other electronic components than conventional von Neumann systems. This review highlights recent advances in device-based computing. We seek to demonstrate how device-based computing can be used to implement von Neumann architectures more efficiently through Boolean logic and also to realize next-generation non-von Neumann systems, with a focus on improving integration density and energy efficiency.

키워드

circuit compactiondevice-based computingDTI-2: Exploreneuromorphic computingstochastic computingtransistor countsBAYESIAN NEURAL-NETWORKSMOORES LAWMODELSLOGIC
제목
Advancing device-based computing by simplifying circuit complexity
저자
Park, Tae HyunKim, Min SeoSeo, Ju HyungKim, Young JoonTrivedi, Amit RanjanHan, Joon KyuYoo, Ho Cheon
DOI
10.1016/j.device.2025.100720
발행일
2025-04
유형
Article
저널명
Device
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