The Grid Enablement and Sustainable Simulation of Multiscale Physics Applications

Yingwen Song, Yoshio Tanaka, H. Takemiya, A. Nakano, S. Ogata, S. Sekiguchi
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Abstract

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.
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多尺度物理应用的网格实现与可持续模拟
对材料中氢扩散的理解对于设计合适的工艺至关重要。虽然我们已经开发了一种微推弹性带(NEB)+分子动力学(MD)/量子力学(QM)算法来模拟材料中的H扩散,但对于传统单一系统上的大规模模型来说,它通常在计算上是不可行的。因此,我们将NEB+MD/QM算法网格化在我们小组开发的集成框架之上。在由TeraGrid和AIST提供的超级计算机组成的跨太平洋网格基础设施上,成功地进行了为期两天的氧化铝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,给出了网格实现工作,并报告了实现可持续仿真容错和负载平衡的技术。我们相信我们的经验对中间件开发人员和应用程序用户都有好处。
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