本机参与者:用于分布式异构环境的可伸缩软件平台

Dominik Charousset, T. Schmidt, Raphael Hiesgen, Matthias Wählisch
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引用次数: 54

摘要

编写并发软件是一项挑战,特别是使用低级同步原语(如共享内存环境中的线程或锁)时。参与者模型用在“一无所有”范式中传递的显式消息取代了隐式通信。它适用于并发性和分布,但尚未进入本机编程领域。本文为c++提供了一个本地actor扩展的设计,并提供了一个软件平台的报告,该软件平台实现了(a)并发,(b)分布式和(C)异构硬件环境的设计。GPGPU和嵌入式硬件组件以透明的方式集成。我们的软件平台支持可扩展和高效并行软件的开发。它包括一个无锁邮箱算法,具有用于消息处理的模式匹配功能。全面的性能评估显示,在实际的应用程序场景中,内存占用非常小,而运行时性能不仅优于现有的成熟actor实现,而且超过了底层消息传递库(如OpenMPI)的扩展行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Native actors: a scalable software platform for distributed, heterogeneous environments
Writing concurrent software is challenging, especially with low-level synchronization primitives such as threads or locks in shared memory environments. The actor model replaces implicit communication by an explicit message passing in a 'hared-nothing' paradigm. It applies to concurrency as well as distribution, but has not yet entered the native programming domain. This paper contributes the design of a native actor extension for C++, and the report on a software platform that implements our design for (a) concurrent, (b) distributed, and (c) heterogeneous hardware environments. GPGPU and embedded hardware components are integrated in a transparent way. Our software platform supports the development of scalable and efficient parallel software. It includes a lock-free mailbox algorithm with pattern matching facility for message processing. Thorough performance evaluations reveal an extraordinary small memory footprint in realistic application scenarios, while runtime performance not only outperforms existing mature actor implementations, but exceeds the scaling behavior of low-level message passing libraries such as OpenMPI.
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