Optimizing convolutional neural network on FPGA under heterogeneous computing framework with OpenCL

作者：Zhengrong Wang, Fei Qiao, Zhen Liu, Yuxiang Shan, Xunyi Zhou, Li Luo, Huazhong Yang · 年份：2016 · DOI：10.1109/tencon.2016.7848692 · 被引用次数：9 · 研究领域：Advanced Neural Network Applications、CCD and CMOS Imaging Sensors、Neural Networks and Applications

As convolutional neural network (CNN) has been used more and more widely, such as in areas of images classifications and face recognition, the traditional CPU or GPU platforms have been insufficient to support the efficient operation of increasingly complex CNN. Therefore, heterogeneous computing platform is increasingly used to accelerate CNN, which contains a host and one or more computing devices, such as GPU and FPGA, etc.