On the implementation of SPMD applications using Haskell/sub #/

Francisco Heron de Carvalho Junior, R. Lins, N. Quental
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引用次数: 2

Abstract

Commodities-built clusters, a low cost alternative for distributed parallel processing, brought high-performance computing to a wide range of users. However, the existing widespread tools for distributed parallel programming, such as messaging passing libraries, does not attend new software engineering requirements that have emerged due to increase in complexity of applications. Haskell/sub #/ is a parallel programming language intending to reconcile higher abstraction and modularity with scalable performance. It is demonstrated the use of Haskell/sub #/ in the programming of three SPMD benchmark programs, which have lower-level MPI implementations available.
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关于使用Haskell/ sub# /实现SPMD应用程序
商品构建的集群是分布式并行处理的一种低成本替代方案,它为广泛的用户带来了高性能计算。然而,现有的用于分布式并行编程的广泛使用的工具,如消息传递库,并不能满足由于应用程序复杂性增加而出现的新软件工程需求。Haskell/sub /是一种并行编程语言,旨在将更高的抽象和模块化与可扩展的性能相协调。本文演示了在三个SPMD基准程序的编程中使用Haskell/ sub# /,这些程序具有较低级的MPI实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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