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An On-a-Chip System for Smart Applications based on DNN (Deep Neural Network)

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2023, 19(3), pp.65-70
  • DOI : 10.29056/jsav.2023.09.07
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : September 5, 2023
  • Accepted : September 20, 2023
  • Published : September 30, 2023

Lee Bong Kyu 1

1제주대학교

Accredited

ABSTRACT

Although Deep Neural Network (DNN) shows excellent performance in pattern recognition such as image processing and voice recognition, it has the disadvantage of requiring intensive computing powers for real-time processing. This paper presents a programmable On-a-chip hardware for embedded smart applications based on Deep Neural Network (DNN) computations. To implement and test the proposed on-chip system, an FPGA-based development platform is produced and used. Since the main processor and related hardwares can be implemented in the same FPGA using the platform, all hardware blocks can be integrated and verified easily. A operation program is provided for On-a-chip system core initialization, operation, and software development environment. The effectiveness of the proposed On-a-chip system is shown through an experiment implementing an actual application system based on DNNs.

Citation status

* References for papers published after 2023 are currently being built.