用于高性能计算的射线分解辐射传输

IF 3.8 2区物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computational Physics Pub Date : 2024-11-12 DOI:10.1016/j.jcp.2024.113567

Owen Mylotte, Matthew T. McGurn, Kenneth Budzinski, Paul E. DesJardin

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引用次数: 0

摘要

辐射传输在许多高性能计算问题中至关重要。然而，其复杂性给计算带来了挑战。本研究提出了一种新型算法，即用于长特性传输的射线分解法，旨在解决分布式内存计算所特有的通信难题。射线特性计算的重新排序降低了与顺序射线整合相关的通信成本。验证研究证明了解决方案的收敛性。射线分解方法的性能建模根据第一原理预测了计算时间。实验测量的性能与分析预测的一致性验证了性能扩展模型。这项工作标志着向更可扩展、更高效的辐射传输模拟迈出了一步。

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Ray decomposition radiation transport for high performance computing

Radiation transport is essential in many high-performance computing problems. However, its complexity presents computational challenges. This study presents a novel algorithm, the ray decomposition method for long characteristics transport, designed to address communication challenges specific to distributed memory computing. Reordering of ray property calculations reduces communication cost associated with sequential ray integration. Verification studies demonstrate solution convergence. Performance modeling of the ray decomposition method predicts the compute time from first principles. Consistency of experimentally measured performance with analytical predictions validates the performance scaling model. This work represents a step towards more scalable and efficient radiation transport simulations.

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来源期刊

Journal of Computational Physics 物理-计算机：跨学科应用

CiteScore

7.60

自引率

14.60%

发文量

763

审稿时长

5.8 months

期刊介绍： Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.