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Research on CUDA-based Kriging Interpolation Algorithm

机译:基于CUDA的Kriging插值算法研究

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Three-dimensional geological model can describe the types of geological information efficiently, express a variety of topological relations among geological phenomena intuitively. Kriging interpolation algorithm is an important spatial interpolation method of three-dimensional geological modeling, but every grid point needs to compute augmented matrix and solve equations, so it costs too much time. With the modeling scale and drilling data quantity' increasing rapidly, we need to make Kriging algorithm parallel imperatively. However parallel machine has many disadvantages- high cost for example, we propose to use CUDA which is multi-threaded parallelism and low lost GPU-using to implement Kriging interpolation algorithm in this paper, then optimize the memory access and so on according to the executive features of CUDA. We make high speedup and low running time. Compared with the single-threaded CPU implementation, the speedup of multi-threaded CUDA implementation achieves more than 110.
机译:三维地质模型可以有效地描述地质信息的类型,直观地表达了地质现象的各种拓扑关系。 Kriging插值算法是三维地质模型的重要空间插值方法,但每个网格点都需要计算增强矩阵和求解方程,因此它的时间太多了。通过建模规模和钻探数据量快速增长,我们需要使克里格算法并行必决。然而,平行机具有许多缺点 - 例如,我们建议使用CUDA,该CUDA是多螺纹并行性和低丢失的GPU - 在本文中实现Kriging插值算法,然后根据执行官优化存储器访问等。 CUDA的特点。我们制造高速和低运行时间。与单螺纹CPU实现相比,多线程CUDA实现的加速达到110以上。

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