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Reconfigurable computing: a promising microchip architecture for artificial intelligence

Shaojun Wei

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Abstract: Today, integrated circuit technology is approaching the physical limit. From performance and energy consumption perspective, reconfigurable computing is regarded as the most promising technology for future computing systems with excellent feature in computing and energy efficiency. From the perspective of computing performance, compared with single thread performance stagnation of general purpose processors (GPPS), reconfigurable computing may customize hardware according to application requirements, so as to achieve higher performance and lower energy consumption. From the perspective of economics, a microchip based on reconfigurable computing technology has post-silicon reconfigurability, which can be applied in different fields, so as to better share the cost of non-recurring engineering (NRE). High computing and energy efficiency together with unique reconfigurability make reconfigurable computing one of the most important technologies of artificial intelligent microchips.



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    Received: Revised: Online: Accepted Manuscript: 01 February 2020Published: 11 February 2020

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      Shaojun Wei. Reconfigurable computing: a promising microchip architecture for artificial intelligence[J]. Journal of Semiconductors, 2020, 41(2): 020301. doi: 10.1088/1674-4926/41/2/020301 S J Wei, Reconfigurable computing: a promising microchip architecture for artificial intelligence[J]. J. Semicond., 2020, 41(2): 020301. doi: 10.1088/1674-4926/41/2/020301.Export: BibTex EndNote
      Citation:
      Shaojun Wei. Reconfigurable computing: a promising microchip architecture for artificial intelligence[J]. Journal of Semiconductors, 2020, 41(2): 020301. doi: 10.1088/1674-4926/41/2/020301

      S J Wei, Reconfigurable computing: a promising microchip architecture for artificial intelligence[J]. J. Semicond., 2020, 41(2): 020301. doi: 10.1088/1674-4926/41/2/020301.
      Export: BibTex EndNote

      Reconfigurable computing: a promising microchip architecture for artificial intelligence

      doi: 10.1088/1674-4926/41/2/020301
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      • Author Bio:

        Shaojun Wei Shaojun Wei is the Professor of the Department of Micro- and Nano-electronics, Tsinghua University, Beijing, China. His research activities range from integrated circuit design meth-odologies, electronic design automation (EDA), embedded system design to reconfigurable computing tech-nologies. Prof. Wei is the fellow of IEEE and the fellow of Chinese Institute of Electronics (CIE)

      • Published Date: 2020-02-01

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