@phdthesis{oai:tsukuba.repo.nii.ac.jp:00008677, author = {Yan, Xiao Yang and 顔, 小洋}, month = {}, note = {Parallel Computing involves all of the challenges of serial programming, such as data partitioning, task partitioning, task scheduling, parallel debugging, and synchronization. The field of parallel computing is growing and becoming synonymous to mainline computing topics, such as parallel performance and architecture, theory and complexity analysis of parallel algorithms, design and scheduling of parallel tasks, and programming languages and systems for writing parallel programs on data parallel, control parallel, and parallel programming. Besides emitting a continuous stream of plasma called the solar wind, the sun periodically releases billions of tons of matter that are called coronal mass ejections (CME). These immense clouds of material, when directed towards the earth, can cause large magnetic storms in the magnetosphere and the upper atmosphere. Magnetic storms produce many noticeable effects on and near the earth. They are often referred as the space weather problems. Energetic particle entry into cusp and inner magnetosphere and its kinetic characteristics are also very important in space weather problems. In order to predict the space weather of the earth, many observation satellites, such as, cluster II, IMP 8, etc., are launched and numerous computer simulations are performed. Although global three-dimensional magnetohydrodynamic (3DMHD) simulations provide a quantitative picture, it can’t include kinetic effects. Hybrid simulation also only processes ion as particle and electron as fluid. In order to include the full self-consistent kinetic characteristics, our global three-dimensional electro-magnetic particle model (3DEMPM) simulations become an important tool to reveal the phenomena in space weather problems. In this thesis, based on SPMD (Single Program Multiple Data) Model, we construct a global three-dimensional electro-magnetic particle model (3DEMPM) using HPF (High Performance Fortran) that is an extended version of Fortran 90 for parallel systems and has become a standard parallel programming language in scientific calculation fields. ・・・, 2004, Includes bibliographical references, 著者の希望により要旨のみ公開}, school = {筑波大学, University of Tsukuba}, title = {Parallel global three-dimensional electro-magnetic particle model simulation and its application to space weather problems}, year = {2005} }