With the development of the semiconductor industry, more processors can be integrated onto a single chip. Network-on-Chip (NoC) is an efficient solution for the interconnections on chip for many-core system with many processor cores on chip. However, enhancing performance with lower power consumption is still a challenge. The core issue is the mapping of applications to NoC. A common method is to find processes with high communication with each other and map them to neighborhoods. Thus, they can reduce the communication distance and avoid unnecessary energy cost. This work proposed an online scheduling method, which aims at the optimization of task scheduling algorithm with low communication energy consumption. The communication status of applications at run time is analyzed first. Then, the algorithm will compute the mapping method dynamically and implement the real-time scheduling online. Experimental results based on simulation show that the algorithm proposed in this review can achieve more than 30% communication energy saving with low complexity.

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In this study, a combination of analytic hierarchy process (AHP) and geographic information system (GIS) was used to analyze and obtain remote sensing images and digital elevation models (DEM) in the area through field surveys. The seven factors of rock layer type, vegetation cover index (NDVI), slope, height, fault influence zone, river influence zone and highway influence zone were selected. The purpose is to study the distribution range and law of debris flow at different levels in the area. The results show that the area is a highly prone area for debris flow for sand-mud interlayer and NDVI less than 0.10, the slope between 30 ° and 45 °, the height between 950-1300 meters, the fault impact zone within 400 meters, the river within 100 meters on both sides of the river, and the highway is 75 meters on both sides.