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首页> 外文会议>International Geoscience and Remote Sensing Symposium >Study on parallelization of components' proportion calculation for three dimensional thermal anisotropy modelof urban targets based on Linux cluster
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Study on parallelization of components' proportion calculation for three dimensional thermal anisotropy modelof urban targets based on Linux cluster

机译：基于Linux集群的城市目标三维热各向异性模型中组分比例计算的并行化研究

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Directional brightness temperature (DBT) plays an important role in surface energy balance and urban climate. How to determinate the components' proportion efficiently is one of the key factors to accurate simulation of DBT. Usually, determining the proportion of each component in the sensor's field of view (FOV) uses the radiosity method. This approach is more complicated and highly accurate, however, the computational complexity increases dramatically with the decreasing splitting scale of the involved facet area. To solve this problem, this research uses message passing interface (MPI) programming model to design and implement a parallel Linux cluster-based components' proportion calculation method. The experimental results show that the speedup ratio of the algorithm increases with the decrease of the facet areas' splitting scales, and that the achieved speedup reaches to 100 times or so, i.e., the acceleration effect is satisfactory and meets the application's requirements.
机译：定向亮度温度（DBT）在地表能量平衡和城市气候中起着重要作用。如何有效地确定部件的比例是准确模拟DBT的关键因素之一。通常，使用光能传递方法确定传感器视场（FOV）中每种成分的比例。该方法更加复杂且高度准确，但是，随着所涉及的小平面区域的分割尺度的减小，计算复杂性急剧增加。为了解决这个问题，本研究使用消息传递接口（MPI）编程模型来设计和实现基于Linux集群的并行组件比例计算方法。实验结果表明，该算法的加速比随刻面区域分割尺度的减小而增加，并且达到的加速比达到100倍左右，即加速效果令人满意并满足应用需求。

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