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ششمین کنفرانس بین المللی میکروالکترونیک ایران
Using GDI Structure in Hardware Implementation of Convolution Operation in Deep Neural Networks
نویسندگان :
Maedeh Kadkhodaie
1
Sayed Masoud Sayedi
2
1- Isfahan University of Technology
2- Isfahan University of Technology
کلمات کلیدی :
Neural networks،Convolutional neural networks،Hardware design،GDI،CMOS
چکیده :
In this paper, GDI structure is used to implement convolution operation for Convolutional Neural Networks (CNN). Given the potential to design circuits with fewer transistors using the GDI structure compared to the standard CMOS structure, the proposed design can be more suitable for applications facing challenges such as increased area, losses, and reduced speed. To optimize transistor dimensions in the GDI structure and prevent capacitive chaining, a combination of CMOS and GDI structures is used. For the design chosen for the implementation, the proposed structure achieves a speed increase of 2.08 times and a 16.5% improvement in energy efficiency compared to the equivalent CMOS structure. The proposed CNN is implemented in 65 nm technology.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0
