Area-efficient mapping of convolutional neural networks to memristor crossbars using sub-image partitioning

HIGHLIGHTS

• who: Seokjin Oh et al. from the School of Electrical Engineering, Kookmin University, Seoul, Republic of Korea have published the research work: Area-Efficient Mapping of Convolutional Neural Networks to Memristor Crossbars Using Sub-Image Partitioning, in the Journal: Micromachines 2023, 309 of 25/01/2023
• what: In this paper various convolution schemes with 3D 2D and 1D kernels are analyzed and compared in terms of neural network`s performance and overlapping overhead. Based on the analysis of Figure 2d, the authors discuss how to mitigate the line resistance problem in memristor crossbars in the . . .
  

   

  

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