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首页> 外文会议>IEEE 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的组分比例计算并行化研究

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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）在表面能平衡和城市气候中起着重要作用。如何有效地确定组件的比例是准确模拟DBT的关键因素之一。通常，确定传感器视野中的每个组件的比例（FOV）使用光学性方法。这种方法更复杂，非常高度准确，但是计算复杂性随着所涉及的小区域的分裂量表的降低而显着增加。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并行Linux基于群集的组件的比例计算方法。实验结果表明，算法的加速比随着小区区域的分割尺度的降低而增加，并且实现的加速达到100次左右，即加速度效果是令人满意的，符合应用的要求。

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