集成MPI和纳米线程编程模型

P. Hadjidoukas, E. D. Polychronopoulos, T. Papatheodorou
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引用次数: 6

摘要

本文提出了一个集成了用于分布式内存系统的MPI和用于共享内存多处理器的纳米线程编程模型(NPM)的原型运行时系统。这种集成不会改变两个模型的独立性,因为运行时系统是基于多层设计的,它单独支持它们中的每一个,但提供了结合它们的优势的能力。现有的MPI代码无需修改即可执行,共享内存机器的代码可以直接使用,同时两种模型的并发使用也很容易。运行时系统的主要特性是可移植性,因为它完全基于对MPI和Nthlib的调用,Nthlib是一种用户级线程库,已移植到多个操作系统。运行时系统支持混合编程模型(MPI+OpenMP),也为MPI应用程序提供了更好的负载平衡解决方案。此外,它在多处理器集群上扩展了AN和NPM的多编程功能,并支持OpenMP标准在分布式内存多处理器上的扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating MPI and nanothreads programming model
This paper presents a prototype runtime system that integrates MPI, used on distributed memory systems, and nanothreads programming model (NPM), a programming model for shared memory multiprocessors. This integration does not alter the independence of the two models, since the runtime system is based on a multilevel design that supports each of them individually but offers the capability of combining their advantages. Existing MPI codes can be executed without any changes, codes for shared memory machines can be used directly, while the concurrent use of both models is easy. Major feature of the runtime system is portability, as it is based exclusively on calls to MPI and Nthlib, a user-level threads library that has been ported to several operating systems. The runtime system supports the hybrid-programming model (MPI+OpenMP), providing also a solution for better load balancing in MPI applications. Moreover, it extends the AN and the multiprogramming functionality of the NPM on clusters of multiprocessors and can support an extension of the OpenMP standard on distributed memory multiprocessors.
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