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GPU Computing in Space Weather Modeling
Feng, Xueshang; Zhong, DingKun; Xiang, Changqing; Zhang, Yao; Feng, XS (reprint author), Chinese Acad Sci, SIGMA Weather Grp, State Key Lab Space Weather, Ctr Space Sci & Appl Res, POB 8701, Beijing 100190, Peoples R China.
Department空间科学部
Source PublicationNUMERICAL MODELING OF SPACE PLASMA FLOWS ASTRONUM-2012
2013
Pages131-139
Language英语
ISBN978-1-58381-832-9
AbstractSpace weather refers to conditions on the Sun and in the solar wind, magnetosphere, ionosphere, and thermosphere that can influence the performance and reliability of space-borne and ground-based technological systems and that affect human life or health. In order to make the real- or faster than real-time numerical prediction of adverse space weather events and their influence on the geospace environment, high-performance computational models are required. The main objective in this article is to explore the application of programmable graphic processing units (GPUs) to the numerical space weather modeling for the study of solar wind background that is a crucial part in the numerical space weather modeling. GPU programming is realized for our Solar-Interplanetary-CESE MHD model (SIP-CESE MHD model) by numerically studying the solar corona/interplanetary solar wind. The global solar wind structures is obtained by the established GPU model with the magnetic field synoptic data as input. The simulated global structures for Carrington rotation 2060 agrees well with solar observations and solar wind measurements from spacecraft near the Earth. The model's implementation of the adaptive-mesh-refinement (AMR) and message passing interface (MPI) enables the full exploitation of the computing power in a heterogeneous CPU/GPU cluster and significantly improves the overall performance. Our initial tests with available hardware show speedups of roughly 5x compared to traditional software implementation. This work presents a novel application of GPU to the space weather study.
Conference Name7th Annual International Conference on Numerical Modeling of Space Plasma Flows
Conference DateJUN 25-29, 2012
Conference PlaceBig Isl, HI
Indexed ByCPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4737
Collection空间科学部
Corresponding AuthorFeng, XS (reprint author), Chinese Acad Sci, SIGMA Weather Grp, State Key Lab Space Weather, Ctr Space Sci & Appl Res, POB 8701, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Feng, Xueshang,Zhong, DingKun,Xiang, Changqing,et al. GPU Computing in Space Weather Modeling[C]:ASTRONOMICAL SOC PACIFIC,2013:131-139.
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