Design and Implementation of VPX Intelligent Acceleration Module Based on FPGA
We designed and implemented an intelligent acceleration module based on domestic FPGA to address the issues of poor operating environment,high requirements for intelligent algorithm inference speed,and complex algorithm deployment process in aerospace field intelligent computing units.The module interface complies with the VPX standard specifications,has better mechanical structure and environmental adaptability,and supports inference acceleration of deep learning object detection algorithms.Based on the hardware selection of core components such as FPGA chips,DDR memory,and power conversion modules that meet the requirements of localization,the hardware circuit design is completed to obtain the actual intelligent acceleration module.Taking target detection algorithm as an example,the module deployed weight files and model files onto the intelligent acceleration module for inference calculation using the designed automatic compilation tool.The experiment proved that the intelligent acceleration module has great envi-ronmental adaptability,deployment convenience,and good computational acceleration performance,and the acceleration ratio is about 4.47 times than that of domestic CPUs.
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