集成电路与嵌入式系统2024，Vol.24Issue(9)：25-35,11.DOI:10.20193/j.ices2097-4191.2024.0023
安全自主可控的国产化FPGA神经网络部署框架研究
Study of autonomous and controllable neural network deployment framework based on domestic FPGA
摘要
Abstract
Aiming at the potential security issues arising from the existing deep learning edge applications relying on non-domestic FPGA architectures and encrypted IP implementations,which are difficult to quickly deploy on domestic FPGA platforms with insufficient IP and still under development,a neural network hardware deployment framework towards domestic FPGA is designed to achieve secure,autonomous and controllable deployment of domestic FPGA neural networks.In addition,the fast pipelined convolutional circuit and the im2col conversion circuit are designed to rapidly compute the systolic array.The experimental results demonstrate that the framework is capable of generating networks,such as Lenet5,with up to 147.8 GOPS for 16-bit data type and 0.024 ms running time,which repre-sents a 5.13x improvement in throughput and a 6.67x decrease in time,respectively.An evaluation of im2col operation on RTL design yields up to 124.9x gains over CPU on Intel Xeon E-2276M.关键词
FPGA/神经网络/硬件部署框架/Lenet5/DSPKey words
FPGA/neural network/hardware deployment framework/Lenet5/DSP分类
信息技术与安全科学引用本文复制引用
刘济源,王保平,汤勇明,李鹤..安全自主可控的国产化FPGA神经网络部署框架研究[J].集成电路与嵌入式系统,2024,24(9):25-35,11.基金项目
国家自然科学基金青年科学基金项目(62304037) （62304037）
江苏省基础研究计划自然科学基金—青年基金项目(BK20230828) （BK20230828）
第八届中国科协青年人才托举工程(2022QNRC001) （2022QNRC001）
东南大学新晋教师科研启动经费资助(RF1028623173). （RF1028623173）
