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정보과학회. 컴퓨팅의 실제 논문지 = KIISE transactions on computing practices, v.23 no.7, 2017년, pp.417 - 423
이민학 (인천대학교 임베디드시스템공학과) , 강우철 (인천대학교 임베디드시스템공학과)
AI-Helper
Recently, many embedded devices that have the computing capability required for deep learning have become available; hence, many new applications using these devices are emerging. However, these embedded devices have an architecture different from that of PCs and high-performance servers. In this pa...
Jia, Yangqing, et al., "Caffe: Convolutional architecture for fast feature embedding," Proc. of the 22nd ACM international conference on Multimedia, ACM, 2014.
Denton, Emily L., et al., "Exploiting linear structure within convolutional networks for efficient evaluation," Advances in Neural Information Processing Systems, 2014.
Max Jaderberg, et al., "Speeding up Convolutional Neural Networks with Low Rank Expansions," Proc. of the British Machine Vision Conference, BMVA Press, Sep. 2014.
T. He, Y. Fan, Y. Qian, T. Tan and K. Yu, "Reshaping deep neural network for fast decoding by node-pruning," 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 245-249, 2014.
Qiu, Jiantao, et al., "Going deeper with embedded fpga platform for convolutional neural network," Proc. of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, ACM, 2016.
Lane, Nicholas D., et al., "DeepX: A software accelerator for low-power deep learning inference on mobile devices," 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2016.
Y. Gong, Liu Liu, Y. Ming and Lubomir Bourdev, "Compressing deep convolutional networks using vector quantization," arXiv preprint arXiv:1412.6115, 2014.
Krizhevsky, Alex, et al., "Imagenet classification with deep convolutional neural networks," Advances in neural information processing systems, pp. 1097- 1105, 2012.
Simonyan, Karen, and Andrew Zisserman, "Very deep convolutional networks for large-scale image recognition," arXiv preprint arXiv:1409.1556, 2014.
Szegedy, Christian, et al., "Going deeper with convolutions," Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-9, 2015.
MinHak Lee and Woochul Kang, "Performance Enhancement and Evaluation of AES Cryptography using OpenCL on Embedded GPGPU," KIISE Transactions on Computing Practices, Vol. 22, No. 7, pp. 303-309, Jul. 2016. (in Korean)
Abe, Yuki, et al., "Power and performance analysis of GPU-accelerated systems," HotPower, 2012.
Krizhevsky, Alex, "One weird trick for parallelizing convolutional neural networks," arXiv preprint arXiv: 1404.5997, 2014.
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