Forest rainfall characteristics based on heterogeneous computing and influencing factors of athletes’ physical supplement

The advent of the era of big data greatly stimulates the research and application of heterogeneous algorithms. Firstly, based on the characteristics of heterogeneous FPGA computing platform, this paper develops kb-knn heterogeneous algorithm based on KNN. In order to make full use of the heterogeneous platform, this paper classifies the unclassified data and adopts the parallel implementation scheme of flow between devices, so that the master and slave devices in the heterogeneous system can participate in the calculation cycle of global hydrology and material energy. This paper explains the importance of forest rainfall distribution for regional social and economic development and agricultural production, ecological balance, optimal allocation of water resources, and environmental protection. Due to the limited availability of data from multiple sources, there are few studies to analyze the precipitation changes of different time scales in mountainous areas. The forest precipitation data used in this paper usually have low temporal and spatial resolution, and cannot describe the spatiotemporal heterogeneity of precipitation in mountainous areas. In addition, the physical fitness of athletes mainly includes strength training and speed training. The combination of recovery and nutrition is the basic knowledge that coaches must have. The rehabilitation of athletes mainly depends on the amount of exercise, physical therapy, and massage adjustment. Reasonable nutrition is one of the most important factors for athletes to win and ensure their health and sports ability. Heterogeneous computing platform provides a new solution to accelerate the implementation of such algorithms. In the heterogeneous computing platform, this paper discusses the nutrition of athletes’ physical supplement and describes the characteristics of forest rainfall.