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首页> 外文会议>International Conference on High Performance Computing and Communications(HPCC 2005); 20050921-23; Sorrento(IT) >Scalable Photon Monte Carlo Algorithms and Software for the Solution of Radiative Heat Transfer Problems
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Scalable Photon Monte Carlo Algorithms and Software for the Solution of Radiative Heat Transfer Problems

机译：解决辐射传热问题的可扩展光子蒙特卡洛算法和软件

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摘要

Radiative heat transfer plays a central role in many combustion and engineering applications. Because of its highly nonlinear and nonlocal nature, the computational cost can be extremely high to model radiative heat transfer effects accurately. In this paper, we present a parallel software framework for distributed memory architectures that implements the photon Monte Carlo method of ray tracing to simulate radiative effects. Our primary focus is on applications such as fluid flow problems in which radiation plays a significant role, such as in combustion. We demonstrate the scalability of the framework for two representative combustion test problems, and address the load balancing problem resulting from widely varying physical properties such as optical thickness. This framework allows for the incorporation of other, user-specified radiative properties, which should enable its use within a wide variety of other applications.
机译：辐射热传递在许多燃烧和工程应用中起着核心作用。由于其高度的非线性和非局部性质，因此要精确地模拟辐射传热效果的计算成本可能会非常高。在本文中，我们提出了一种用于分布式内存体系结构的并行软件框架，该框架实现了射线跟踪的光子蒙特卡洛方法来模拟辐射效应。我们的主要重点是诸如流体流动问题之类的应用，其中辐射在燃烧中起着重要作用。我们演示了针对两个代表性燃烧测试问题的框架的可伸缩性，并解决了由于物理特性（例如光学厚度）差异很大而导致的负载平衡问题。该框架允许并入其他用户指定的辐射特性，这应使其能够在各种其他应用程序中使用。

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