arch:用于PSE开发的基础设施

Nathan Debardeleben, W. Ligon, R. Sass
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摘要

在本文中,我们描述了arch,一个用于构建特定于领域的pse的面向对象框架。该框架旨在支持广泛的问题域,并以一种允许其针对非常不同的高性能计算模型的方式进行扩展。为了展示这种灵活性,我们描述了从同一框架开发的两个pse,它们解决了不同的问题,并针对非常不同的计算平台。Coven PSE支持需要大规模并行性的并行应用程序,这种并行性可以在经济高效的Beowulf集群中找到。相比之下,RCADE PSE的目标是具有细粒度并行性的可重构计算(基于fpga)平台。RCADE旨在帮助对研究卫星仪器数据感兴趣的NASA地球科学家,这些科学家不太可能接受过低级硬件设计方面的培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arches: an infrastructure for PSE development
In this paper, we describe Arches, an object-oriented framework for building domain-specific PSEs. The framework was designed to support a wide range of problem domains and to be extendable in a way that allows it to target very different high-performance computing models. To demonstrate this flexibility we describe two PSEs that have been developed from the same framework yet solve different problems and target very different computing platforms. The Coven PSE supports parallel applications that need the large-scale parallelism that is found in cost-effective Beowulf clusters. In contrast, the RCADE PSE targets reconfigurable computing (FPGA-based) platforms with fine-grain parallelism. RCADE was designed to aid NASA Earth scientists interested in studying satellite instrument data and who are unlikely to be schooled in low-level hardware design.
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