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권대책(Dae-Chack Kwon),강보영(Bo-Yeong Kang) 한국정보기술학회 2017 한국정보기술학회논문지 Vol.15 No.8
In order to use deep learning method which uses vast amount of data specific to image data, a high-performance computer operation system is required hence a large operation system such as a supercomputer or mainframe was constructed and operated. However, recently, the development of a CPU and a GPU has led to the development of a parallel processing technique. In this paper we analyzed the performance of CPUs and GPUs, which are mainly used where high-resolution images of 8K and 4K are enlarged using convolutional neural network. Experimental results show that of various GPU and CPU configurations, TitanX (P) showed the best speed.