According to the aforementioned situation, in recent years, many researchers have proposed a number of neural network accelerators to achieve high performance and low power consumption. Thus, the main purpose of this literature is to briefly review recent related works, as well as the DianNao-...
In this paper, we give an overview of previous work on neural network accelerators based on FPGA and summarize the main techniques used. Investigation from software to hardware, from circuit level to system level is carried out to complete analysis of FPGA based neural network accelerator design ...
The field of computer vision is experiencing a great-leap-forward development today. This paper aims at providing a comprehensive survey of the recent progress on computer vision algorithms and their corresponding hardware implementations. In particular, the prominent achievements in computer vision tasks...
FPGA-based hardware accelerators for convolutional neural networks (CNNs) have received attention due to their higher energy efficiency than GPUs. However,... HRF Li - 《Acm Journal on Emerging Technologies in Computing Systems》 被引量: 0发表: 2018年 A survey of FPGA and ASIC designs for tra...
A Survey of Knowledge-Enhanced Text Generation. arXiv 2020 paper bib Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang A Survey on Neural Network Language Models. arXiv 2019 paper bib Kun Jing, Jungang Xu Evaluation of Text Generation: A Survey. arXiv...
A Survey of Deep Learning Methods for Relation Extraction.arXiv 2017paperbib Shantanu Kumar A Survey of Event Extraction From Text.IEEE 2019paperbib Wei Xiang, Bang Wang A Survey of Neural Network Techniques for Feature Extraction from Text.arXiv 2017paperbib ...
fpgadeepneuralopportunitiesbasedchallenges FPGABasedDeepLearningAccelerators:ChallengesOpportunitiesTengWangChaoWangXuehaiZhouHuapingChenSoftwareEngineeringComputerScienceUSTCSuzhou,Chinasa517368@email.ustc.edu,cswang@ustc.edu,xhzhou@ustc.edu,hpchen@ustc.eduAbstract—Withrapiddevelopmentin-depthlearning,neuralnetworkdee...
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specific hardware accelerators to support the current and future data sizes and model structures.The current trends for designing application-specific integrated circuits barely consider the essential requirement for maintaining the complex neural network computation to be resilient in the presence of soft ...
In the survey we define the requirements to DF in the interests of the control of complex artificial and natural objects, consider the structure of the multilevel process of intelligent object control, identify the neural networks that can be used in the control process for data fusion. Despite...