Dataset supporting the publication "Efficient Deployment of Early-Exit DNN Architectures on FPGA Platforms"
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下载链接：
https://eprints.soton.ac.uk/492609/
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资源简介：
Dataset supporting publication "Efficient Deployment of Early-Exit DNN Architectures on FPGA Platforms" presented at the conference: Design, Automation & Test in Europe Conference.
This dataset contains:
'Fig2a.csv': Data supporting Fig. 2 (a). Execution time in ms of the Dynamic Deep Neural Network on different platforms. (CPU, CPU+GPU, Jetson Xavier and FPGA Xilinx ZCU106)
'Fig2b.csv': Data supporting Fig. 2 (b). Energy consumption and needed power for the execution of the Dynamic Deep Neural network on different platforms. (CPU, CPU+GPU, Jetson Xavier and FPGA Xilinx ZCU106).
'Fig3.csv' : Data supporting Fig. 3 . Number of samples to be firstly correctly predicted after the execution of every layer on ResNet-32.
Related projects: Engineering and Physical Sciences Research Council (EPSRC) under EP/S030069/1
Licence: CC BY 4.0
提供机构：
University of Southampton
创建时间：
2024-08-08
