sam++:使用c++可移植性库移植E3SM-MMF云解析模型

IF 2.5 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Isaac Lyngaas, M. Norman, Youngsung Kim
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引用次数: 1

摘要

在这项工作中,我们演示了使用可移植性库将能源Exascale地球系统模型多尺度建模框架(E3SM-MMF)中使用的云解析模型(CRM)从其原始Fortran代码库移植到C++代码的过程。这个移植过程是使用另一个内核库(YAKL)执行的,YAKL是一个简化的C++可移植性库,专门用于Fortran移植。特别是,我们详细介绍了我们逐步移植大气建模系统(SAM)的方法,该系统是E3SM-MMF中使用的CRM,使用了一个混合的Fortran/C++框架,该框架允许系统复制和正确性测试逐步移植的YAKL C++代码。此外,使用OLCF的Summit超级计算机对移植代码的性能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAM++: Porting the E3SM-MMF cloud resolving model using a C++ portability library
In this work, we demonstrate the process for porting the cloud resolving model (CRM) used in the Energy Exascale Earth System Model Multi-Scale Modeling Framework (E3SM-MMF) from its original Fortran code base to C++ code using a portability library. This porting process is performed using the Yet Another Kernel Library (YAKL), a simplified C++ portability library that specializes in Fortran porting. In particular, we detail our step-by-step approach for porting the System for Atmospheric Modeling (SAM), the CRM used in E3SM-MMF, using a hybrid Fortran/C++ framework that allows for systematic reproduction and correctness testing of gradually ported YAKL C++ code. Additionally, analysis is done on the performance of the ported code using OLCF’s Summit supercomputer.
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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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