GPU-based embedded intelligence architectures and applications

Li Minn Ang*, Kah Phooi Seng

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

10 Citations (Scopus)


This paper present contributions to the state-of-the art for graphics processing unit (GPU-based) embedded intelligence (EI) research for architectures and applications. This paper gives a comprehensive review and representative studies of the emerging and current paradigms for GPU-based EI with the focus on the architecture, technologies and applications: (1) First, the overview and classifications of GPU-based EI research are presented to give the full spectrum in this area that also serves as a concise summary of the scope of the paper; (2) Second, various architecture technologies for GPU-based deep learning techniques and applications are discussed in detail; and (3) Third, various architecture technologies for machine learning techniques and applications are discussed. This paper aims to give useful insights for the research area and motivate researchers towards the development of GPU-based EI for practical deployment and applications.

Original languageEnglish
Article number952
JournalElectronics (Switzerland)
Issue number8
Publication statusPublished - 2 Apr 2021
Externally publishedYes


  • Embedded intelligence
  • GPU
  • Machine learning
  • Multi-GPU
  • Parallel architecture


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