Ultra-high-speed accelerator architecture for convolutional neural network based on processing-in-memory using resistive random access memory

HIGHLIGHTS

• who: Hongzhe Wang and collaborators from the State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, China have published the Article: Ultra-High-Speed Accelerator Architecture for Convolutional Neural Network Based on Processing-in-Memory Using Resistive Random Access Memory, in the Journal: Sensors 2023, 23, 2401. of /2023/
• what: The authors propose an RRAM PIM architecture that eliminates the need for ADCs and DACs for data conversion. In this work, an RRAM PIM architecture is designed to accelerate CNN networks to achieve an ultra . . .
  

   

  

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