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Progress towards physics-based space weather forecasting with exascale computing

机译:使用百亿亿次计算实现基于物理学的空间天气预报的进展

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摘要

Space weather is a rapidly growing field of science which studies processes occurring in the area of space between the Sun and the Earth. The development of space weather forecasting capabilities is a task of great societal relevance: space weather effects may damage a number of technological assets, among which power and communication lines, transformers, pipelines and the telecommunication infrastructure. Exascale computing is a fundamental ingredient for space weather forecasting tools based on physical, rather than statistical, models. We describe here our recent progresses towards a physics-based space weather forecasting tool with exascale computing. We select the semi-implicit, Particle In Cell, Implicit Moment Method implemented in the parallel, object-oriented, C++ iPic3D code as a promising starting point. We analyze the structure and the performances of the current version of the iPic3D code. We describe three algorithmic developments, the fully implicit method, the Multi-Level Multi-Domain method, and the fluid-kinetic method, which can help addressing the multiple spatial and temporal scales present in space weather simulations. We then examine, in a co-design approach, which requirements - vector-ization, extreme parallelism and reduced communication - an application has to satisfy to fully exploit architectures such as CPUs and Xeon Phi's. We address how to modify the iPic3D code to better satisfy these requirements. We then describe how to port the iPic3D code to the DEEP architecture currently under construction. The FP7 project DEEP (www.deep-project.eu) aims at building an exascale-ready machine composed of a cluster of Xeon nodes and of a collection of Xeon Phi coprocessors, used as boosters. The aim of the DEEP project is to enable exascale performance for codes, such as iPic3D, composed of parts which exhibit different potential for extreme scalability. Finally, we provide examples of simulations of space weather processes done with the current version of the iPic3D code.
机译:太空天气是一个快速发展的科学领域,它研究在太阳和地球之间的太空区域中发生的过程。发展空间天气预报能力是一项与社会息息相关的任务:空间天气影响可能会破坏许多技术资产,其中包括电力和通信线路,变压器,管道和电信基础设施。 Exascale计算是基于物理模型而非统计模型的空间天气预报工具的基本要素。我们在这里描述了我们最近的进展,这些进展是基于百亿分之一秒计算的基于物理学的空间天气预报工具。我们选择在并行的,面向对象的C ++ iPic3D代码中实现的半隐式,单元格内隐式矩方法作为有希望的起点。我们分析了当前版本的iPic3D代码的结构和性能。我们描述了三种算法的发展,完全隐式方法,多级多域方法和流体动力学方法,它们可以帮助解决空间天气模拟中存在的多个时空尺度。然后,我们以一种共同设计的方式来研究矢量(矢量化),极端并行性和减少的通信需求-应用程序必须满足以充分利用CPU和Xeon Phi等架构。我们解决如何修改iPic3D代码以更好地满足这些要求。然后,我们描述如何将iPic3D代码移植到当前正在构建的DEEP体系结构中。 FP7项目DEEP(www.deep-project.eu)的目的是构建一种百亿级就绪机器,该机器由Xeon节点群集和用作增强器的Xeon Phi协处理器集合组成。 DEEP项目的目的是使iPic3D等代码具有百亿分之几的性能,这些代码由具有极大扩展潜力的部分组成。最后,我们提供了使用当前版本的iPic3D代码完成的空间天气过程模拟的示例。

著录项

  • 来源
    《Advances in Engineering Software》 |2017年第9期|3-17|共15页
  • 作者单位

    Center for Mathematical Plasma Astrophysics, Departement Wiskunde, KULeuven, University of Leuven, Celestijnenlaan 200B - bus 2400, B-3001 Heverlee, Belgium;

    Center for Mathematical Plasma Astrophysics, Departement Wiskunde, KULeuven, University of Leuven, Celestijnenlaan 200B - bus 2400, B-3001 Heverlee, Belgium;

    Department of Computational Science and Technologies, KTH Royal Institute of Technology, Stockholm, Sweden;

    Center for Mathematical Plasma Astrophysics, Departement Wiskunde, KULeuven, University of Leuven, Celestijnenlaan 200B - bus 2400, B-3001 Heverlee, Belgium;

    Laboratory for Atmospheric and Space Physics (LASP), University of Colorado Boulder, 3665 Discovery Drive, Boulder, CO 80303-7820, USA;

    Center for Mathematical Plasma Astrophysics, Departement Wiskunde, KULeuven, University of Leuven, Celestijnenlaan 200B - bus 2400, B-3001 Heverlee, Belgium;

    Center for Mathematical Plasma Astrophysics, Departement Wiskunde, KULeuven, University of Leuven, Celestijnenlaan 200B - bus 2400, B-3001 Heverlee, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Space weather; Particle-In-Cell; Adaptive; Implicit; Exascale; High Performance Computing;

    机译:太空天气;细胞内颗粒自适应隐式百亿磅高性能计算;

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