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Energy consumption has been a critical issue in high-performance computing systems, such as clusters and data centers. An existing technique to reduce energy consumption of applications is dynamic voltage/frequency scaling (DVFS). In this paper, we present a novel algorithm called EASLA for energy aware scheduling of precedence-constrained applications in(More)
Recently, artificial intelligence plays a more and more important role in our study and daily lives. People use it to forecast or make the best decisions. Artificial neural network (ANN) is the most important model in the intelligence forecast. However, the model is not satisfying enough that the accuracy is just 80%-92%. So we need to strengthen the model(More)
With the prevailing of smart devices (e.g., smart phone, routers, cameras), more and more programs are ported from traditional desktop platform to embedded hardware with ARM or MIPS architecture. While the compiled binary code differs significantly due to the variety of CPU architectures, these ported programs share the same code base of the desktop(More)
Recent years, Chinese people pay much attention on the health security system. We make efforts to help the government to analyze the health security system of all parts of the country. In our paper, we utilize two models, Factor Analysis (FA) and Gray Relation Analysis (GRA), to evaluate the health security system from both time-vertical and(More)
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