Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing.

This article details a neuromorphic computing projects program in Singapore, a collaboration between the Agency for Science, Technology and Research, A*STAR, and the National University of Singapore (NUS). The ultimate goal of the program is attainment of energy-efficient deep learning practices. To...

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Publicado en:Communications of the ACM Vol. 66; no. 7; pp. 52 - 58
Autores principales: TAO LUO, WENG-FAI WONG, SIOW MONG GOH, RICK, ANH TUAN DO, ZHIXIAN CHEN, HAIZHOU LI, WENYU JIANG, WEIYUN YAU
Formato: Artículo
Publicado: Association for Computing Machinery Jul2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing.
      aug:
        au:
          TAO LUO
          WENG-FAI WONG
          SIOW MONG GOH, RICK
          ANH TUAN DO
          ZHIXIAN CHEN
          HAIZHOU LI
          WENYU JIANG
          WEIYUN YAU
        affil:
          Research scientist at the Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), in Singapore
          Associate professor in the School of Computing (SoC), at National University of Singapore (NUS), Singapore
          Research scientist at the Institute of Microelectronics (IME), Agency for Science, Technology and Research (A*STAR), in Singapore
          Professor in the School of Computing (SoC), at National University of Singapore (NUS), Singapore
          Research scientist at the Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), in Singapore
      su:
        Neuromorphics
        Deep learning
        Middleware
        Computer software
        Computer input-output equipment
        Computers
        National University of Singapore
        Singapore. Agency for Science, Technology & Research
      sug:
        subj:
          Neuromorphics
          Deep learning
          Middleware
          Computer software
          Computer input-output equipment
          Computers
          National University of Singapore
          Singapore. Agency for Science, Technology & Research
      ab: This article details a neuromorphic computing projects program in Singapore, a collaboration between the Agency for Science, Technology and Research, A*STAR, and the National University of Singapore (NUS). The ultimate goal of the program is attainment of energy-efficient deep learning practices. Topics include a description of all areas of the neuromorphic computing program with a look at the hardware, middleware, software and system integration implementation.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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