[1] LECUN Y,BENGIO Y,HINTON G.Deep learning[J].Nature,2015,521(7553):436-444. [2] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNet classification with deep convolutional neural networks[C]//Proceedings of the 25th International Conference on Neural Information Processing Systems.New York,USA:Curran Associates Inc.,2012. [3] XIAO Q C,LIANG Y,LU L Q,et al.Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on FPGAs[C]//Proceedings of the 54th Annual Design Automation Conference.New York,USA:ACM Press,2012:1-6. [4] SHEN J Z,HUANG Y,WANG Z L,et al.Towards a uniform template-based architecture for accelerating 2D and 3D CNNs on FPGA[C]//Proceedings of 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.New York,USA:ACM Press,2018:97-106. [5] 秦华标,曹钦平.基于FPGA的卷积神经网络硬件加速器设计[J].电子与信息学报,2019,41(11):2599-2605. QIN H B,CAO Q P.Design of convolutional neural networks hardware acceleration based on FPGA[J].Journal of Electronics and Information Technology,2019,41(11):2599-2605.(in Chinese) [6] MA Y F,CAO Y,SARMA V,et al.Optimizing loop operation and dataflow in FPGA acceleration of deep convolutional neural networks[C]//Proceedings of 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.San Diego,USA:[s.n.],2018:45-54. [7] LU L Q,XIE J M,HUANG R R,et al.An efficient hardware accelerator for sparse convolutional neural networks on FPGAs[C]//Proceedings of the 27th Annual International Symposium on Field-Programmable Custom Computing Machines.Washington D.C.,USA:IEEE Press,2019:17-25. [8] ZHANG S J,DU Z D,ZHANG L,et al.Cambricon-X:an accelerator for sparse neural networks[C]//Proceedings of 2016 IEEE International Symposium on Microarchitecture.Washington D.C.,USA:IEEE Press,2016:1-5. [9] AIMAR A,MOSTAFA H,CALABRESE E,et al.NullHop:a flexible convolutional neural network accelerator based on sparse representations of feature maps[J].IEEE Transactions on Neural Networks and Learning Systems,2018,30(3):644-656. [10] 刘勤让,刘崇阳.利用参数稀疏性的卷积神经网络计算优化及其FPGA加速器设计[J].电子与信息学报,2018,40(6):1368-1374. LIU Q R,LIU C Y.Calculation optimization for convolutional neural networks and FPGA-based accelerator design using the parameters sparsity[J].Journal of Electronics and Information Technology,2018,40(6):1368-1374.(in Chinese) [11] PARASHAR A,RHU M,MUKKARA A,et al.SCNN:an accelerator for compressed-sparse convolutional neural networks[J].Computer Architecture News,2017,45(2):27-40. [12] 周聖元,杜子东,陈云霁.稀疏神经网络加速器设计[J].高技术通讯,2019,29(3):24-33. ZHOU S Y,DU Z D,CHEN Y J.Design of sparse neural network accelerator[J].Chinese High Technology Letters,2019,29(3):24-33.(in Chinese) [13] KIM D,AHN J,YOO S.ZeNA:zero-aware neural network accelerator[J].IEEE Design & Test,2017,35(1):39-46. [14] ZHU C Y,HUANG K J,YANG S Y,et al.An efficient hardware accelerator for structured sparse convolutional neural networks on FPGAs[EB/OL].(2020-01-07)[2020-06-10].https://arxiv.org/pdf/2001.01955.pdf. [15] ZHOU X D,DU Z D,GUO Q,et al.Cambricon-S:addressing irregularity in sparse neural networks through a cooperative software/hardware approach[C]//Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture.Washington D.C.,USA:IEEE Press,2018:1-5. [16] HAN S,MAO H Z,DALLY W J.Deep compression:compressing deep neural networks with pruning,trained quantization and huffman coding[C]//Proceedings of the 4th International Conference on Learning Representations.San Juan,Puerto Rico:[s.n.],2016:1-5. [17] HAN S,JEFF P,TRAN J,et al.Learning both weights and connections for efficient neural network[C]//Proceedings of NIPS'15.Montreal,Canada:Neural Information Processing Systems Foundation,Inc.,2015:1-5. [18] ANWAR S,HWANG K,SUNG W.Structured pruning of deep convolutional neural networks[J].ACM Journal on Emerging Technologies in Computing Systems,2017,13(3):1-18. [19] LAING Y,LU L Q,XIAO Q C,et al.Evaluating fast algorithms for convolutional neural networks on FPGAs[C]//Proceedings of the 25th Annual International Symposium on Field-Programmable Custom Computing Machines.Washington D.C.,USA:IEEE Press,2019:1-5. [20] KAREN S,ANDREW Z.Very deep convolutional networks for large-scale image recognition[EB/OL].(2015-04-10)[2020-06-10].https://arxiv.org/pdf/1409.1556.pdf. |