HidroMORE 2:一个优化和并行版本的HidroMORE

2017 8th International Conference on Information and Communication Systems (ICICS) Pub Date : 2017-04-04 DOI:10.1109/IACS.2017.7921936

Raúl Moreno, Enrique Arias, José L. Sánchez, D. Cazorla, Jesús Garrido, J. González-Piqueras

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引用次数: 6

摘要

卡斯蒂亚-拉曼查大学遥感和地理信息系统(GIS)部门开发了HidroMORE软件，将蒸散发评估扩展到区域尺度，实施了FAO-56方法，并从卫星图像计算的归一化植被指数(NDVI)图像中同化基础作物系数。然而，当该软件处理高维图像时，性能会大大下降。目前，需要HidroMORE进行计算，而计算结果在当前状态下是无法接近的。在这项工作中，提出了HidroMORE 2，其中考虑了高性能计算方法来管理HidroMORE软件的复杂性。这里提出的工作考虑到改善性能的两个主要方面:改进输入/输出操作，即更好地管理硬盘操作;另一方面，通过利用当前的计算机体系结构，特别是多核体系结构，使用并行计算。

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HidroMORE 2: An optimized and parallel version of HidroMORE

HidroMORE software was developed in the Remote Sensing and Geographic Information Systems (GIS) section from the University of Castilla-la Mancha to extend the Evapotranspiration assessment to a regional scale, implementing the FAO-56 methodology and the assimilation of the basal crop coefficient from Normalized Difference Vegetation Index (NDVI) images calculated from satellite images. However, when this software deals with high dimension images, the performance greatly decays. Currently, HidroMORE is being required for carring out calculations that result unapproachable in its current state. In this work HidroMORE 2 is presented where a High Performance Computing approach has been considered to manage the complexity of HidroMORE software. The work presented here takes into account two main aspects in order to improve the performance: improvements on input/output operations, that is, a better manage of hard disk operations; and on the other hand the use of Parallel Computing by exploiting current computer architectures, in particular, multicore architectures.

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2017 8th International Conference on Information and Communication Systems (ICICS)

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