Computer Science ›› 2023, Vol. 50 ›› Issue (11): 306-316.doi: 10.11896/jsjkx.230300078
• Computer Network • Previous Articles Next Articles
WANG Yuzhan, GUO Bin, WANG Hongli, LIU Sicong
CLC Number:
[1]LI W,LIEWIG M.A survey of AI accelerators for edge environment[C]//World Conference on Information Systems and Technologies.Cham:Springer,2020:35-44. [2]ALOM M Z,TAHA T M,YAKOPCIC C,et al.A state-of-the-art survey on deep learning theory and architectures[J].Electronics,2019,8(3):292. [3]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Imagenetclassification with deep convolutional neural networks[J].Advances inNeural Information Processing Systems,2012,25. [4]LUO J H,WU J,LIN W.Thinet:A filter level pruning method for deep neural network compression[C]//Proceedings of the IEEE International Conference on Computer Vision.2017:5058-5066. [5]GUPTA S,AGRAWAL A,GOPALAKRISHNAN K,et al.Deep learning with limited numerical precision[C]//Interna-tional Conference on Machine Learning.PMLR,2015:1737-1746. [6]VANHOUCKE V,SENIOR A,MAO M Z.Improving the speed of neural networks on CPUs[C]//NIPS 2011.2011. [7]JIAO L C,SUN Q G,YANG Y T,et al.Progress,implementation and prospect of deep neural network FPGA design [J].Chinese Journal of Computers,2022,45(3):441-471. [8]CHEN D,SINGH D.Fractal video compression in OpenCL:An evaluation of CPUs,GPUs,and FPGAs as acceleration platforms[C]//2013 18th Asia and South Pacific Design Automation Conference(ASP-DAC).IEEE,2013:297-304. [9]NURVITADHI E,SIM J,SHEFFIELD D,et al.Acceleratingrecurrent neural networks in analytics servers:Comparison of FPGA,CPU,GPU,and ASIC[C]//2016 26th International Conference on Field Programmable Logic and Applications(FPL).IEEE,2016:1-4. [10]AHMED M T,SINHA S.Design and Development of Efficient Face Recognition Architecture Using Neural Network on FPGA[C]//2018 Second International Conference on Intelligent Computing and Control Systems(ICICCS).IEEE,2018:905-909. [11]RICE K L,BHUIYAN M A,TAHA T M,et al.FPGA implementation of Izhikevich spiking neural networks for character recognition[C]//2009 International Conference on Reconfigurable Computing and FPGAs.IEEE,2009:451-456. [12]MA Y,CAO Y,VRUDHULA S,et al.Optimizing loop operation and dataflow in FPGA acceleration of deep convolutional neural networks[C]//Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.2017:45-54. [13]SHEN J,WANG Y,XU P,et al.Fractional skipping:Towards finer-grained dynamic cnn inference[C]//Proceedings of the AAAI Conference on Artificial Intelligence.2020:5700-5708. [14]WANG X,YU F,DOU Z Y,et al.Skipnet:Learning dynamicrouting in convolutional networks[C]//Proceedings of the European Conference on Computer Vision(ECCV).2018:409-424. [15]JACOB B,KLIGYS S,CHEN B,et al.Quantization and training of neural networks for efficient integer-arithmetic-only inference[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2018:2704-2713. [16]WU Z,NAGARAJAN T,KUMAR A,et al.Blockdrop:Dynamic inference paths in residual networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2018:8817-8826. [17]WILLIAMS S,WATERMAN A,PATTERSON D.Roofline:an insightful visual performance model for multicore architectures[J].Communications of the ACM,2009,52(4):65-76. [18]Dual Lens Camera Module AN5642 User Manual[EB/OL] https://alinx.com/public/upload/file/AN5642_User_Manual.pdf. [19]POTTER M C,WYBLE B,HAGMANN C E,et al.Detectingmeaning in RSVP at 13 ms per picture[J].Attention,Perception,& Psychophysics,2014,76(2):270-279. |
[1] | ZHAO Mingmin, YANG Qiuhui, HONG Mei, CAI Chuang. Smart Contract Fuzzing Based on Deep Learning and Information Feedback [J]. Computer Science, 2023, 50(9): 117-122. |
[2] | LI Haiming, ZHU Zhiheng, LIU Lei, GUO Chenkai. Multi-task Graph-embedding Deep Prediction Model for Mobile App Rating Recommendation [J]. Computer Science, 2023, 50(9): 160-167. |
[3] | HUANG Hanqiang, XING Yunbing, SHEN Jianfei, FAN Feiyi. Sign Language Animation Splicing Model Based on LpTransformer Network [J]. Computer Science, 2023, 50(9): 184-191. |
[4] | ZHU Ye, HAO Yingguang, WANG Hongyu. Deep Learning Based Salient Object Detection in Infrared Video [J]. Computer Science, 2023, 50(9): 227-234. |
[5] | ZHANG Yian, YANG Ying, REN Gang, WANG Gang. Study on Multimodal Online Reviews Helpfulness Prediction Based on Attention Mechanism [J]. Computer Science, 2023, 50(8): 37-44. |
[6] | SONG Xinyang, YAN Zhiyuan, SUN Muyi, DAI Linlin, LI Qi, SUN Zhenan. Review of Talking Face Generation [J]. Computer Science, 2023, 50(8): 68-78. |
[7] | WANG Xu, WU Yanxia, ZHANG Xue, HONG Ruize, LI Guangsheng. Survey of Rotating Object Detection Research in Computer Vision [J]. Computer Science, 2023, 50(8): 79-92. |
[8] | ZHOU Ziyi, XIONG Hailing. Image Captioning Optimization Strategy Based on Deep Learning [J]. Computer Science, 2023, 50(8): 99-110. |
[9] | ZHANG Xiao, DONG Hongbin. Lightweight Multi-view Stereo Integrating Coarse Cost Volume and Bilateral Grid [J]. Computer Science, 2023, 50(8): 125-132. |
[10] | WANG Yu, WANG Zuchao, PAN Rui. Survey of DGA Domain Name Detection Based on Character Feature [J]. Computer Science, 2023, 50(8): 251-259. |
[11] | LI Kun, GUO Wei, ZHANG Fan, DU Jiayu, YANG Meiyue. Adversarial Malware Generation Method Based on Genetic Algorithm [J]. Computer Science, 2023, 50(7): 325-331. |
[12] | WANG Mingxia, XIONG Yun. Disease Diagnosis Prediction Algorithm Based on Contrastive Learning [J]. Computer Science, 2023, 50(7): 46-52. |
[13] | SHEN Zhehui, WANG Kailai, KONG Xiangjie. Exploring Station Spatio-Temporal Mobility Pattern:A Short and Long-term Traffic Prediction Framework [J]. Computer Science, 2023, 50(7): 98-106. |
[14] | HUO Weile, JING Tao, REN Shuang. Review of 3D Object Detection for Autonomous Driving [J]. Computer Science, 2023, 50(7): 107-118. |
[15] | ZHOU Bo, JIANG Peifeng, DUAN Chang, LUO Yuetong. Study on Single Background Object Detection Oriented Improved-RetinaNet Model and Its Application [J]. Computer Science, 2023, 50(7): 137-142. |
|