Performance comparison of the A-grid and C-grid shallow-water models on icosahedral grids

IF 3.5 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
J. Middlecoff, Yonggang G. Yu, M. Govett
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引用次数: 0

Abstract

This study uses a single software framework to compare the CPU performance of Arakawa A-grid (NICAM) and C-grid (MPAS) schemes for solving the shallow-water equations on icosahedral grids. The focus is on high-resolution weather prediction. Performance analysis shows the simpler structure of the A-grid equations enables compiler optimization-based efficiency gains that the C-grid equations cannot match. Strong scaling runs at 3.5 km resolution show the A-grid is three times faster than the C-grid, enabling the A-grid to run at 50% higher resolution in only 15% more time. A performance comparison with the MPAS shallow-water model is included which demonstrates that our software implementation of the C-grid is robust and comparisons are fair.
二十面体网格上a网格和c网格浅水模型的性能比较
本研究使用单一软件框架比较了Arakawa a网格(NICAM)和c网格(MPAS)方案在求解二十面体网格上浅水方程时的CPU性能。重点是高分辨率天气预报。性能分析表明,a网格方程的简单结构使基于编译器优化的效率提高,这是c网格方程无法比拟的。在3.5公里分辨率下的强缩放运行表明,a网格比c网格快三倍,使a网格在仅多15%的时间内以高50%的分辨率运行。与MPAS浅水模型的性能比较表明,我们的c网格软件实现是鲁棒的,比较是公平的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications 工程技术-计算机:跨学科应用
CiteScore
6.10
自引率
6.50%
发文量
32
审稿时长
>12 weeks
期刊介绍: With ever increasing pressure for health services in all countries to meet rising demands, improve their quality and efficiency, and to be more accountable; the need for rigorous research and policy analysis has never been greater. The Journal of Health Services Research & Policy presents the latest scientific research, insightful overviews and reflections on underlying issues, and innovative, thought provoking contributions from leading academics and policy-makers. It provides ideas and hope for solving dilemmas that confront all countries.
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