Parallel Princeton Ocean Model based on OpenACC

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yining Wang , Bingtian Li , Wei Zhou , Yunxiu Ge
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引用次数: 0

Abstract

With the development of the ocean economy, accurate forecasting using ocean models has become increasingly important. Existing parallel versions of the Princeton Ocean Model (POM) often feature complex code and limited portability. To address these issues and meet the computational demands of high-resolution ocean models while reducing program runtime, we developed an OpenACC-based parallel version of POM. Our approach migrates all computational components to the GPU using OpenACC, providing better maintainability and portability. We identified parallelizable sections and used Nsight Systems to analyze bottlenecks, reducing the transfer time efficiently between CPU and GPU. We tested the model's accuracy and performance under various simulation durations and resolutions. The results show a slight reduction in accuracy, while the speedup improved significantly, ranging from 11.75 to 45.04 with increased simulation duration and resolution. This work enhances the usability and efficiency of POM, making it more suitable for ocean forecasting and advanced research applications.

Abstract Image

基于OpenACC的并行普林斯顿海洋模型
随着海洋经济的发展,利用海洋模式进行准确预报变得越来越重要。现有的普林斯顿海洋模型(POM)的并行版本通常具有复杂的代码和有限的可移植性。为了解决这些问题并满足高分辨率海洋模型的计算需求,同时减少程序运行时间,我们开发了一个基于openacc的并行版本的POM。我们的方法使用OpenACC将所有计算组件迁移到GPU,提供更好的可维护性和可移植性。我们确定了可并行的部分,并使用Nsight系统来分析瓶颈,有效地减少了CPU和GPU之间的传输时间。我们在不同的模拟时间和分辨率下测试了模型的精度和性能。结果显示精度略有下降,而加速显著提高,随着模拟持续时间和分辨率的增加,加速范围从11.75到45.04。该工作提高了POM的可用性和效率,使其更适合于海洋预报和高级研究应用。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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