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On Abstractions of Software Component Models for Scientific Applications

机译:关于科学应用软件组件模型的抽象

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In the seek of more computing power, two sources of complexity are to face. On one hand, it is possible to aggregate a large amount of computing power (and storage) at the price of very complex resources such as grids. On the other hand, such available computing power allows to imagine more complex applications such as code coupling applications to achieve more realistic simulations. Component models appear as a solid foundation to handle simultaneously both sources of complexity. However, component models need to provide adequate abstractions to offer a simple programming model while enabling high performance on any kind of resources. This paper reviews several abstractions dedicated for scientific applications: data sharing between components, master-worker relationships, parallel to parallel component communications and collective communications among components.
机译:在寻求更多的计算能力中,两个复杂的源是面对的。一方面,可以以非常复杂的资源(如网格)聚合大量计算功率(和存储)。另一方面,这种可用的计算能力允许想象更复杂的应用程序,例如代码耦合应用来实现更现实的仿真。组件模型显示为实心基础,同时处理复杂性的源。但是,组件模型需要提供足够的抽象来提供简单的编程模型,同时在任何类型的资源上实现高性能。本文评论了专用于科学应用的几种抽象:组件之间的数据共享,主工作关系,并行于组件之间的并行组件通信和集体通信。

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