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.
Tricholoma matsutake is a rare, precious, and wild edible fungus that could not be cultivated artificially until now. This situation has given way to the introduction of fake T. matsutake commodities to the mushroom market. Among the methods used to detect food adulteration, amplification of species-specific diagnostic marker is particularly important and accurate. In this study, the Pol gene is reported as a species-specific diagnostic marker to identify three T. matsutake varieties and 10 other types of edible mushrooms through qualitative and quantitative PCR. The PCR results did not reveal variations in the amplified region, and the detection limits of qualitative and quantitative PCR were found to be 8 ng and 32 pg, respectively. Southern blot showed that the Pol gene exists as a single copy in the T. matsutake genome. The method that produced the purest DNA of T. matsutake in this study was also determined, and the high-concentration salt precipitation method was confirmed to be the most suitable among the methods tested. The assay proposed in this work is applicable not only to the detection of raw materials but also to the examination of processed products containing T. matsutake.
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