Challenges in Energy-Efficient Deep Neural Network Training with FPGA
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9142289/9150305/09151041.pdf?arnumber=9151041
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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