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Trends in AI Processor Technology

인공지능프로세서 기술 동향

  • 이미영 (인공지능프로세서연구실) ;
  • 정재훈 (인공지능프로세서연구실) ;
  • 이주현 (인공지능프로세서연구실) ;
  • 한진호 (인공지능프로세서연구실) ;
  • 권영수 (지능형반도체연구본부)
  • Published : 2020.06.01

Abstract

As the increasing expectations of a practical AI (Artificial Intelligence) service makes AI algorithms more complicated, an efficient processor to process AI algorithms is required. To meet this requirement, processors optimized for parallel processing, such as GPUs (Graphics Processing Units), have been widely employed. However, the GPU has a generalized structure for various applications, so it is not optimized for the AI algorithm. Therefore, research on the development of AI processors optimized for AI algorithm processing has been actively conducted. This paper briefly introduces an AI processor especially for inference acceleration, developed by the Electronics and Telecommunications Research Institute, South Korea., and other global vendors for mobile and server platforms. However, the GPU has a generalized structure for various applications, so it is not optimized for the AI algorithm. Therefore, research on the development of AI processors optimized for AI algorithm processing has been actively conducted.

Keywords

Acknowledgement

This work was supported by the ICT R&D program of MSIT/IITP[2018-0-00195, Artificial Intelligence Processor Research Laboratory].

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