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Cosmological Simulations and Data Exploration: a Testcase on the Usage of Grid Infrastructure

机译:宇宙模拟和数据探索:使用网格基础设施的测试案例

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摘要

While new infrastructures for large computational challenges begin to be widely accessible to researchers, computational codes need to be re-designed to exploit new facilities. The Grid and the cloud computing concepts are changing the computational resource distribution and availability, and much effort start to be made to develop new codes for a better exploitation of new resources. This paper presents an example of the use of Grid resources, based on gLite middleware, to run cosmological simulations, that, up to now, are normally executed on Supercomputers. We have also used the Grid to explore and visualize the dataset. We discuss non particular the performance of FLY a parallel code implementing the octal-tree algorithm introduced by J. Barnes and P. Hut to compute the gravitational field efficiently. It simulates the evolution of the collisionless component of the material content of our Universe. FLY was originally developed to run on mainframe systems using the one-side communication paradigm, but we are now presenting a modified version of the computational algorithm to exploit the Grid environment. We also integrated the data exploration and visualization process on the Grid, to obtain preliminary results using the distributed facilities.
机译:尽管研究人员开始可以广泛使用用于应对大型计算难题的新基础架构,但需要重新设计计算代码以利用新的功能。网格和云计算概念正在改变计算资源的分布和可用性,因此开始进行大量工作来开发新代码以更好地利用新资源。本文提供了一个示例,该示例基于gLite中间件使用Grid资源来运行宇宙模拟,到目前为止,这些模拟通常在超级计算机上执行。我们还使用了网格来浏览和可视化数据集。我们将特别讨论FLY并行代码的性能,该并行代码实现了由J. Barnes和P. Hut引入的八进制树算法以有效地计算引力场。它模拟了我们宇宙中无碰撞成分的演化。 FLY最初是使用单方通信范例开发的,可以在大型机系统上运行,但是现在我们提出了一种改进的计算算法版本,以利用Grid环境。我们还将数据探索和可视化过程集成在Grid上,以使用分布式工具获得初步结果。

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