Advancing device-based computing by simplifying circuit complexity

  • Park, Taehyun; 
  • Kim, Minseo; 
  • Seo, Juhyung; 
  • 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 compaction; device-based computing; DTI-2: Explore; neuromorphic computing; stochastic computing; transistor counts; BAYESIAN NEURAL-NETWORKS; MOORES LAW; MODELS; LOGIC
제목
Advancing device-based computing by simplifying circuit complexity
저자
Park, Taehyun; Kim, Minseo; Seo, Juhyung; Kim, Young-Joon; Trivedi, Amit Ranjan; Han, Joon-Kyu; Yoo, Hocheon
DOI
10.1016/j.device.2025.100720
발행일
2025-04
유형
Article
저널명
DEVICE
권
3
호
4