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首页> 外文期刊>Journal of supercomputing >Optimal tilt and orientation maps: a multi-algorithm approach for heterogeneous multicore-GPU systems
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Optimal tilt and orientation maps: a multi-algorithm approach for heterogeneous multicore-GPU systems

机译:最佳倾斜和方向图:异构多核GPU系统的多算法方法

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This paper presents a new Geographic Information Systems (GIS) tool to compute the optimal solar-panel positioning maps on large high-resolution Digital Elevation Models (DEMs). In particular, this software finds out (1) the maximum solar energy input that can be captured on a surface located at a specific height on each point of the DEM, and then (2) the optimal tilt and orientation that allow capturing this amount of energy. The radiation and horizon algorithms we developed in previous works were used as baseline for this tool (Romero et al. in Comput. Phys. Com-mun. 178(11):800-808, 2008; Tabik et al. in Int. J. Geogr. Inf. Sci. 25(4):541-555, 2011). A multi-method approach is analyzed to make the hybrid implementation of this tool especially appropriate for heterogeneous multicore-GPU architectures. The experimental results show a high numerical accuracy with a linear scalability.
机译:本文介绍了一种新的地理信息系统(GIS)工具,可以在大型高分辨率数字高程模型(DEM)上计算最佳的太阳能电池板定位图。特别是,该软件找出(1)可以在位于DEM每个点上特定高度的表面上捕获的最大太阳能输入,然后(2)允许捕获此数量的最佳倾斜度和方向。能源。我们在先前工作中开发的辐射和视线算法被用作该工具的基准(Romero等人,在Comput。Phys。Com-mun。178(11):800-808,2008; Tabik等人在Int。J Geogr.Inf.Sci.25(4):541-555,2011)。分析了一种多方法方法,以使此工具的混合实现特别适合于异构多核GPU架构。实验结果表明具有线性可伸缩性的高数值精度。

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