RADAR: An Efficient FPGA-based ResNet Accelerator with Data-aware Reordering of Processing Sequences
The deployment of compact convolutional neural network (CNN) models with skip connections on edge devices through dedicated hardware accelerators is increasingly prevalent. However, optimizing the use of limited on-chip memory (OCM) across multiple CNN layers, especially those with skip connections,...
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Published in | Journal of semiconductor technology and science Vol. 25; no. 4; pp. 451 - 458 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
대한전자공학회
31.08.2025
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Subjects | |
Online Access | Get full text |
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