首页> 外文会议>Workshop on Component Models and Systems for Grid Applications; 20040626; Saint Malo(FR) >THE COMPONENT ARCHITECTURE OF OPEN MPI: ENABLING THIRD-PARTY COLLECTIVE ALGORITHMS
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THE COMPONENT ARCHITECTURE OF OPEN MPI: ENABLING THIRD-PARTY COLLECTIVE ALGORITHMS

机译:开放MPI的组件体系结构:启用第三方集合算法

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As large-scale clusters become more distributed and heterogeneous, significant research interest has emerged in optimizing MPI collective operations because of the performance gains that can be realized. However, researchers wishing to develop new algorithms for MPI collective operations are typically faced with significant design, implementation, and logistical challenges. To address a number of needs in the MPI research community, Open MPI has been developed, a new MPI-2 implementation centered around a lightweight component architecture that provides a set of component frameworks for realizing collective algorithms, point-to-point communication, and other aspects of MPI implementations. In this chapter, we focus on the collective algorithm component framework. The "coll" framework provides tools for researchers to easily design, implement, and experiment with new collective algorithms in the context of a production-quality MPI. Performance results with basic collective operations demonstrate that the component architecture of Open MPI does not introduce any performance penalty.
机译:随着大型集群变得更加分散和异构,由于可以实现性能提升,因此在优化MPI集合操作方面出现了重要的研究兴趣。但是,希望为MPI集合运算开发新算法的研究人员通常面临重大的设计,实现和后勤方面的挑战。为了满足MPI研究社区的许多需求,已经开发了Open MPI,一种新的MPI-2实现以轻量级组件体系结构为中心,该体系结构提供了一组组件框架,用于实现集体算法,点对点通信和MPI实施的其他方面。在本章中,我们重点介绍集体算法组件框架。 “ coll”框架为研究人员提供了工具,可在生产质量的MPI上下文中轻松设计,实施和试验新的集体算法。基本集体操作的性能结果表明,Open MPI的组件体系结构不会带来任何性能损失。

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