首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >SPATIAL DOMAIN-BASED PARALLELISM IN LARGE-SCALE, PARTICIPATING-MEDIA, RADIATIVE TRANSPORT APPLICATIONS
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SPATIAL DOMAIN-BASED PARALLELISM IN LARGE-SCALE, PARTICIPATING-MEDIA, RADIATIVE TRANSPORT APPLICATIONS

机译:大规模,参与媒体,辐射运输应用中基于空间域的并行

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摘要

Parallelism for gray participating-media radiation heat transfer may be placed in two primary categories: spatial and angular domain-based parallelism. Angular-based decomposition is limited for large-scale applications, however, given the memory required to store the spatial grid on each processor. Therefore, the objective of this work is to examine the application of spatial domain-based parallelism to large-scale, three-dimensional, participating-media radiation transport calculations using a massively parallel supercomputer architecture. Both scaled and fixed problem size efficiencies are presented for an application of the discrete ordinate method to a three-dimensional, nonscattering radiative transport application with nonuniform absorptivity. The data presented show that the spatial domain-based decomposition paradigm results in some degradation in the parallel efficiency but provides useful speed-up for large computational grids. [References: 26]
机译:用于灰色参与介质辐射传热的并行性可以放在两个主要类别中:基于空间域和基于角度域的并行性。但是,考虑到在每个处理器上存储空间网格所需的内存,基于角度的分解仅限于大规模应用。因此,这项工作的目的是检验使用大规模并行超级计算机体系结构的基于空间域的并行性在大规模,三维,参与介质辐射传输计算中的应用。为了将离散纵坐标方法应用于具有非均匀吸收率的三维非散射辐射传输应用,提出了按比例缩放和固定的问题尺寸效率。呈现的数据表明,基于空间域的分解范例会导致并行效率下降,但可为大型计算网格提供有用的加速。 [参考:26]

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