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A parallel sparse grid construction algorithm based on the shared memory architecture and its application to flash calculations

机译:一种基于共享内存架构的并行稀疏电网施工算法及其在闪存计算中的应用

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The study of sparse grids has been done in a lot of works, but none of them pay special attention on the concept of "layer", not to mention the further research on this new concept. This work presents the layer concept at first, and then based on it a new parallel sparse grid construction algorithm is proposed, which fills the niche that few works design such kind of algorithm on shared memory architecture. With the superiorities of the layer concept, the sparse grids can be constructed in a "layer by layer" manner on a much easier structure which is the simplified tree. Different from the classical tree structures used in the former sparse grid construction algorithm, the simplified tree reduces the number of sparse grid points further and at the same time avoids many unnecessary usages of pointers. Moreover, the correctness of the algorithm is guaranteed by the two correctness criterions, and its main advantages include that it can achieve load balance among the threads easily and that it can be applied in the function domains of any kinds of configurations, which is demonstrated by theory. After that, the algorithm is tested on flash calculations which are an important application from reservoir simulations. According to the characteristics of the issue, a modified version of the algorithm is given. By comparing the tested results with those of the former algorithm, it is found that a great quantity of construction time is saved by this algorithm. (C) 2018 Elsevier Ltd. All rights reserved.
机译:稀疏电网的研究已经在很多作品中完成了,但他们都没有特别关注“层”的概念,更不用说对这个新概念的进一步研究。这项工作首先介绍了层概念,然后提出了一种新的并行稀疏电网结构算法,该算法填充了很少有效设计这种算法在共享内存架构上的算法。利用层概念的优势,稀疏电网可以在更容易的结构上以“层”方式构造成“层”的方式。与前稀疏电网施工算法中使用的经典树结构不同,简化树进一步减少了稀疏网格点的数量,同时避免了指针的许多不必要的用法。此外,两个正确性标准保证了算法的正确性,其主要优点包括它可以容易地实现线程之间的负载平衡,并且它可以应用于任何类型的配置域,这是通过的任何类型的配置理论。之后,在闪存计算上测试算法,这是储层模拟的重要应用。根据问题的特征,给出了算法的修改版本。通过将测试结果与前一种算法的比较,发现该算法节省了大量的施工时间。 (c)2018年elestvier有限公司保留所有权利。

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