최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기대한임베디드공학회논문지 = IEMEK Journal of embedded systems and applications, v.17 no.4, 2022년, pp.217 - 228
권구윤 (Korea University) , 박상우 (Korea University) , 서태원 (Korea University)
Currently, there are increasing demands for applying deep neural networks (DNNs) in the embedded domain such as classification and object detection. The DNN processing in embedded domain often requires custom hardware such as NPU for acceleration due to the constraints in power, performance, and are...
H. Esmaeilzadeh, A. Sampson, L. Ceze, D. Burger, "Neural Acceleration for General-purpose Approximate Programs," in 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 449-460, 2012.
Y. Chen, Y. Xie, L. Song, F. Chen, T. Tang, "A Survey of Accelerator Architectures for Deep Neural Networks," Engineering, Vol. 6, No. 3, pp. 264-274, 2020.
https://cloud.google.com/tpu
A. Skillman, T. Edso, "A Technical Overview of Cortex-m55 and Ethos-u55: Arm's most Capable Processors for Endpoint ai," in 2020 IEEE Hot Chips 32 Symposium (HCS), pp. 1-20, 2020.
J. Choquette, W. Gandhi, O. Giroux, N. Stam, R. Krashinsky, "NVIDIA A100 Tensor core GPU: Performance and Innovation," IEEE Micro, Vol. 41, No. 2, pp. 29-35, 2021.
http://deepx.musigndm.com/product/
https://coral.ai/products/accelerator-module
J. W. Jang, S. Lee, D. Kim, H. Park, A. S. Ardestani, Y. Choi, C. Kim, Y. Kim, H. Yu, H. Abdel-Aziz, J. S. Park, H. Lee, D. Lee, M. W. Kim, H. Jung, H. Nam, D. Lim, S. Lee, J. H. Song, S. Kwon, J. Hassoun, S. H. Lim, C. Choi, "Sparsity-aware and Re-configurable npu Architecture for Samsung Flagship Mobile soc," in 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), pp. 15-28, 2021.
https://www.arm.com/products/silicon-ip-cpu/ethos/ethos-n78
Y. Wang, D. Deng, L. Liu, S. Wei, S. Yin, "PL-NPU: An Energy-Efficient Edge-Device DNN Training Processor With Posit-Based Logarithm-Domain Computing," IEEE Transactions on Circuits and Systems I: Regular Papers, 2022.
L. Lu, Y. Liang, Q. Xiao, S. Yan, "Evaluating fast Algorithms for Convolutional Neural Networks on FPGAs," in 2017 IEEE 25th Annual International Symposium on Field-programmable Custom Computing Machines (FCCM), pp. 101-108, 2017.
Y. H. Chen, T. Krishna, J. S. Emer, V. Sze, "Eyeriss: An Energy-efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks," IEEE Journal of Solid-state Circuits, Vol. 52, No. 1, pp. 127-138, 2016.
Y. H. Chen, T. J. Yang, J. Emer, V. Sze, "Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 9, No. 2, pp. 292-308, 2019.
K. Prabhu, A. Gural, Z. F. Khan, R. M. Radway, M. Giordano, K. Koul, R. Doshi, J. W. Kustin, T. Liu, G. B. Lopes, V. Turbiner, W. S. Khwa, Y. D. Chih, M. F. Chang, G. Lallement, B. Murmann, S. Mitra, P. Raina, "CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference," IEEE Journal of Solid-State Circuits, Vol. 57, No. 4, pp. 1013-1026, 2022.
L. Deng, "The Mnist Database of Handwritten Digit Images for Machine Learning Research [best of the web]," IEEE Signal Processing Magazine, Vol. 29, No. 6, pp. 141-142, 2012.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, L. Fei-Fei, "Imagenet: A Large-scale Hierarchical Image Database," in 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248-255, 2009.
Y. LeCun, "LeNet-5, Convolutional Neural Networks," URL: http://yann.lecun.com/exdb/lenet, Vol. 20, No. 5, pp. 14, 2015.
K. Simonyan, A. Zisserman, "Very Deep Convolutional Networks for Large-scale Image Recognition," arXiv preprint arXiv:1409.1556, 2014.
K. He, X. Zhang, S. Ren, J. Sun, "Deep Residual Learning for Image Recognition," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770-778, 2016.
H. Wu, P. Judd, X. Zhang, M. Isaev, P. Micikevicius, "Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation," arXiv preprint arXiv:2004.09602, 2020.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.