Advancing device-based computing by simplifying circuit complexity

  • Park, Taehyun
  • Kim, Minseo
  • Seo, Juhyung
  • Kim, Young-Joon
  • Trivedi, Amit Ranjan
  • ... Yoo, Hocheon
  • 외 1명
Citations

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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, TaehyunKim, MinseoSeo, JuhyungKim, Young-JoonTrivedi, Amit RanjanHan, Joon-KyuYoo, Hocheon
DOI
10.1016/j.device.2025.100720
발행일
2025-04
유형
Review
저널명
DEVICE
3
4