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Efficient 16 Boolean logic and arithmetic based on bipolar oxide memristors

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Abstract

The physically separated memory and logic units in traditional von Neumann computers place essential limits on the performance and cause increased energy consumption, and hence in-memory computing is required to overcome this bottleneck. Here, a new bipolar memristor based in-memory logic approach is proposed, which is capable of achieving all 16 possible Boolean logic functions in a single device in less than 3 steps. This approach does not require initialization and can facilitate logic cascading, and the calculation taking place in-situ is showcased by 1-bit full adder and 2-bit multiplier with improved efficiency, thus showing a great prospect in future in-memory computing architecture.

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Acknowledgements

This work was supported by National Key R&D Program of China (Grant No. 2017YFA0207600), National Natural Science Foundation of China (Grant Nos. 61925401, 61674006, 61927901, 61421005), and the 111 Project (Grant No. B18001). Yuchao YANG acknowledges the support from Beijing Academy of Artificial Intelligence (BAAI) and the Tencent Foundation through the Xplorer Prize.

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Authors and Affiliations

  1. Key Laboratory of Microelectronic Devices and Circuits (MOE), Department of Micro/Nanoelectronics, Peking University, Beijing, 100871, China

    Rui Yuan, Liying Xu, Qingxi Duan, Teng Zhang, Ru Huang & Yuchao Yang

  2. Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China

    Mingyuan Ma, Zhenhua Zhu, Yu Zhu & Yu Wang

  3. Center for Brain Inspired Chips, Academy for Artificial Intelligence, Peking University, Beijing, 100871, China

    Ru Huang & Yuchao Yang

  4. Frontiers Science Center for Nano-optoelectronics, Peking University, Beijing, 100871, China

    Ru Huang & Yuchao Yang

Authors
  1. Rui Yuan
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  2. Mingyuan Ma
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  3. Liying Xu
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  4. Zhenhua Zhu
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  5. Qingxi Duan
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  6. Teng Zhang
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  7. Yu Zhu
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  8. Yu Wang
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  9. Ru Huang
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  10. Yuchao Yang
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Correspondence to Ru Huang or Yuchao Yang.

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Yuan, R., Ma, M., Xu, L. et al. Efficient 16 Boolean logic and arithmetic based on bipolar oxide memristors. Sci. China Inf. Sci. 63, 202401 (2020). https://doi.org/10.1007/s11432-020-2866-0

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  • DOI: https://doi.org/10.1007/s11432-020-2866-0

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