Challenges in Energy-Efficient Deep Neural Network Training with FPGA

Author:

Tao Yudong,Ma Rui,Shyu Mei-Ling,Chen Shu-Ching

Publisher

IEEE

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-Efficient Computing Acceleration of Unmanned Aerial Vehicles Based on a CPU/FPGA/NPU Heterogeneous System;IEEE Internet of Things Journal;2024-08-15

2. Exploring energy efficiency of LSTM accelerators: A parameterized architecture design for embedded FPGAs;Journal of Systems Architecture;2024-07

3. Can a Student Large Language Model Perform as Well as Its Teacher?;Advances in Medical Technologies and Clinical Practice;2024-04-12

4. Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping;Lecture Notes in Computer Science;2024

5. FPGA architecture for convolutional neural network training;Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023);2023-10-10

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