TeraGrid上的人体动脉树模拟

Leopold Grinberg, S. Dong, J. Noble, A. Yakhot, G. Karniadakis, N. Karonis
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引用次数: 0

摘要

人体动脉树由从心脏到小动脉、毛细血管和小静脉的复杂分支血管网络组成,构成了微循环。人体动脉树单个部分的血流数值模拟需要数百个cpu;一个完整的人类动脉树将需要数千个cpu。如今,我们可以使用由快速网络连接的地理分布的超级计算机进行大规模模拟。Nektar- g2是Nektar的网格支持版本,Nektar是布朗大学开发的软件,可以解决地理分布的超级计算机上的问题。利用MPICH-G2的拓扑感知特性来实施有效的数据分发策略。多级消息传递算法使站点间通信最小化。我们的最终目标是模拟心血管系统不同区域的血流相互作用,并在TeraGrid上建立生物力学门户。在海报展示期间,我们将展示正在进行的项目的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human arterial tree simulation on TeraGrid
The human arterial tree consists of a complex network of branching blood vessels leading from the heart to arterioles, capillaries, and venules - comprising the microcirculation. The numerical simulation of the blood flow in a single part of the human arterial tree requires hundreds of CPUs; a full human arterial tree will require thousands of CPUs. Nowadays, we can use geographically distributed supercomputers connected by a fast network to perform large-scale simulations.Nektar-G2 is the grid-enabled version of Nektar, software developed at Brown University, that allows to solve problems on geographically distributed supercomputers. The topology-aware feature of MPICH-G2 is utilized to enforce an efficient data distribution strategy. Multi-level message passing algorithms minimizes the inter-site communication. Our ultimate goal is to model blood flow interaction of different regions of the cardiovascular system and to establish a biomechanics gateway on the TeraGrid.During poster presentation we will present results of ongoing project.
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