Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network
Author:
Affiliation:
1. University of Wisconsin-Madison
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3020078.3021698
Reference16 articles.
1. C. Zhang P. Li G. Sun Y. Guan B. Xiao and J. Cong "Optimizing fpga-based accelerator design for deep convolutional neural networks " in Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays ACM. 10.1145/2684746.2689060 C. Zhang P. Li G. Sun Y. Guan B. Xiao and J. Cong "Optimizing fpga-based accelerator design for deep convolutional neural networks " in Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays ACM. 10.1145/2684746.2689060
2. Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
3. A reconfigurable fabric for accelerating large-scale datacenter services
4. Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks
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