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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Bibliographic Details
Published inJournal of semiconductor technology and science Vol. 25; no. 4; pp. 451 - 458
Main Authors Park, Juntae, Choi, Dahun, Kim, Hyun
Format Journal Article
LanguageEnglish
Published 대한전자공학회 31.08.2025
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