Parallel BP Neural Network on Single-chip Cloud Computer

机译：单片机云计算机上的并行BP神经网络

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摘要

Neural network has been a clear focus in machine learning area. Back propagation (BP) method is frequently used in neural network training. In this work we paralleled BP neural network on Single-Chip Cloud Computer (SCC), an experimental processor created by Intel Labs, and analyzed multiple metrics under different configurations. We also varied the number of neurons (nodes) in the hidden layer of the BP neural networks and studied the impact. The experiment results show that a better performance can be obtained with SCC, especially when there are more nodes in the hidden layer of BP neural network. A low voltage and frequency configuration contributes to a low power per speedup. What is more, a medium voltage and frequency configuration contributes to both a low energy consumption and energy-delay product.

机译：神经网络一直是机器学习领域的重点。在神经网络训练中经常使用反向传播（BP）方法。在这项工作中，我们在单芯片云计算机（SCC）（由英特尔实验室创建的实验处理器）上并行处理了BP神经网络，并分析了不同配置下的多个指标。我们还改变了BP神经网络隐藏层中神经元（节点）的数量，并研究了其影响。实验结果表明，使用SCC可以获得更好的性能，特别是当BP神经网络的隐藏层中有更多节点时。低电压和频率配置有助于降低每次加速的功耗。此外，中压和频率配置有助于降低能耗和耗能产品。

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来源
《2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, 2015 IEEE 12th International Conference on Embedded Software and Systems》|2015年|1871-1875|共5页
会议地点 New York NY(US)
作者
Boyang Li; Chen Liu;
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作者单位

Dept. of Electr. Comput. Eng., Clarkson Univ., Potsdam, NY, USA;

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原文格式 PDF
正文语种 eng
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关键词
backpropagation; cloud computing; learning (artificial intelligence); Intel Labs; SCC; back propagation method; machine learning; parallel BP neural network; single-chip cloud computer; Biological neural networks; Computers; Energy consumption; Frequency-domain analysis; Power demand; Training; Back Propagation; Energy-Aware Computing; Neural Netork; Power-Aware Computing; Single-chip Cloud Computer;

机译：反向传播;云计算;学习（人工智能）;英特尔实验室; SCC;反向传播方法;机器学习;并行BP神经网络;单芯片云计算机;生物神经网络;计算机;能耗;频域分析;电力需求;培训;反向传播;能量感知计算;神经网络;功率感知计算;单芯片云计算机;;

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2. Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud [J] . Zhang Yongnan, Zhou Yonghua, Lu Huapu, IEEE transactions on industrial informatics . 2020,第12期

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3. Parallel implementation of multilayered neural networks based on Map-Reduce on cloud computing clusters [J] . Zhang Hai-jun, Xiao Nan-feng Soft computing: A fusion of foundations, methodologies and applications . 2016,第4期

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4. Parallel BP Neural Network on Single-chip Cloud Computer [C] . Boyang Li, Chen Liu IEEE International Conference on High Performance Computing and Communications . 2015

机译：单芯片云计算机上的并行BP神经网络
5. Efficient architectures for MLP-BP artificial neural networks implemented on FPGAs. [D] . Savich, Antony Walter. 2007

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6. The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network [O] . Haisheng Li, Long Lai, Li Chen, 2015

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7. Parallel BP Neural Network on Single-chip Cloud Computer [O] . Boyang Li, Chen Liu 2015

机译：单芯片云计算机上的并行BP神经网络

Parallel BP Neural Network on Single-chip Cloud Computer

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