标题/作者	年份
A survey of FPGA-based neural network accelerator K Guo, S Zeng, J Yu, Y Wang, H Yang arXiv preprint arXiv:1712.08934	2017
Fpga/dnn co-design: An efficient design methodology for 1ot intelligence on the edge C Hao, X Zhang, Y Li, S Huang, J Xiong, K Rupnow, W Hwu, D Chen 2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6	2019
Packing sparse convolutional neural networks for efficient systolic array implementations: Column combining under joint optimization HT Kung, B McDanel, SQ Zhang Proceedings of the Twenty-Fourth International Conference on Architectural …	2019
Accuracy vs. efficiency: Achieving both through fpga-implementation aware neural architecture search W Jiang, X Zhang, EHM Sha, L Yang, Q Zhuge, Y Shi, J Hu Proceedings of the 56th Annual Design Automation Conference 2019, 1-6	2019
Hardware/software co-exploration of neural architectures W Jiang, L Yang, EHM Sha, Q Zhuge, S Gu, S Dasgupta, Y Shi, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …	2020
High-performance FPGA-based CNN accelerator with block-floating-point arithmetic X Lian, Z Liu, Z Song, J Dai, W Zhou, X Ji IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (8 …	2019
Cloud-DNN: An open framework for mapping DNN models to cloud FPGAs Y Chen, J He, X Zhang, C Hao, D Chen Proceedings of the 2019 ACM/SIGDA international symposium on field …	2019
Accelerating distributed reinforcement learning with in-switch computing Y Li, IJ Liu, Y Yuan, D Chen, A Schwing, J Huang 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture …	2019
GraphACT: Accelerating GCN training on CPU-FPGA heterogeneous platforms H Zeng, V Prasanna Proceedings of the 2020 ACM/SIGDA International Symposium on Field …	2020
Hypar: Towards hybrid parallelism for deep learning accelerator array L Song, J Mao, Y Zhuo, X Qian, H Li, Y Chen 2019 IEEE International Symposium on High Performance Computer Architecture …	2019
Magnet: A modular accelerator generator for neural networks R Venkatesan, YS Shao, M Wang, J Clemons, S Dai, M Fojtik, B Keller, ... 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8	2019
SkyNet: a hardware-efficient method for object detection and tracking on embedded systems X Zhang, H Lu, C Hao, J Li, B Cheng, Y Li, K Rupnow, J Xiong, T Huang, ... Proceedings of Machine Learning and Systems 2, 216-229	2020
Achieving super-linear speedup across multi-fpga for real-time dnn inference W Jiang, EHM Sha, X Zhang, L Yang, Q Zhuge, Y Shi, J Hu ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-23	2019
Centaur: A chiplet-based, hybrid sparse-dense accelerator for personalized recommendations R Hwang, T Kim, Y Kwon, M Rhu 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …	2020
OPU: An FPGA-based overlay processor for convolutional neural networks Y Yu, C Wu, T Zhao, K Wang, L He IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (1), 35-47	2019
[DL] A survey of FPGA-based neural network inference accelerators K Guo, S Zeng, J Yu, Y Wang, H Yang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 12 (1), 1-26	2019
AutoDNNchip: An automated dnn chip predictor and builder for both FPGAs and ASICs P Xu, X Zhang, C Hao, Y Zhao, Y Zhang, Y Wang, C Li, Z Guan, D Chen, ... Proceedings of the 2020 ACM/SIGDA International Symposium on Field …	2020
Gemmini: An agile systolic array generator enabling systematic evaluations of deep-learning architectures H Genc, A Haj-Ali, V Iyer, A Amid, H Mao, J Wright, C Schmidt, J Zhao, ... arXiv preprint arXiv:1911.09925 3, 25	2019
Edd: Efficient differentiable dnn architecture and implementation co-search for embedded ai solutions Y Li, C Hao, X Zhang, X Liu, Y Chen, J Xiong, W Hwu, D Chen 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6	2020
SiamVGG: Visual tracking using deeper siamese networks Y Li, X Zhang arXiv preprint arXiv:1902.02804	2019

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