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The Grid Enablement and Sustainable Simulation of Multiscale Physics Applications

机译:多尺度物理应用的网格实现和可持续仿真

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The understanding of H diffusion in materials is pivotal to designing suitable processes. Though a nudged elastic band (NEB)+molecular dynamics (MD)/quantum mechanics (QM) algorithm has been developed to simulate H diffusion in materials by our group, it is often not computationally feasible for large-scale models on a conventional single system. We thus gridify the NEB+MD/QM algorithm on the top of an integrated framework developed by our group. A two days simulation on H diffusion in alumina has been successfully carried out over a trans-pacific grid infrastructure consisting of supercomputers provided by TeraGrid and AIST. In this paper, we describe the NEB+MD/QM algorithm, briefly introduce the framework middleware, present the grid enablement work, and report the techniques to achieve fault-tolerance and load-balance for sustainable simulation. We believe our experience is of benefit to both middleware developers and application users.
机译:对材料中H扩散的理解对于设计合适的过程至关重要。尽管我们的小组已经开发出一种带动弹性带(NEB)+分子动力学(MD)/量子力学(QM)算法来模拟材料中的H扩散,但对于常规的单个系统上的大规模模型而言,在计算上通常是不可行的。因此,我们在我们小组开发的集成框架之上将NEB + MD / QM算法网格化。在由TeraGrid和AIST提供的超级计算机组成的跨太平洋网格基础架构上,已经成功进行了为期两天的氧化铝中H扩散模拟。在本文中,我们描述了NEB + MD / QM算法,简要介绍了框架中间件,介绍了网格启用工作,并报告了实现容错和负载均衡以实现可持续仿真的技术。我们认为,我们的经验对中间件开发人员和应用程序用户均有益。

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