Evaluation of Distributed Tasks in Stencil-based Application on GPUs

Eric Raut, Jonathon M. Anderson, M. Araya-Polo, Jie Meng
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引用次数: 4

Abstract

In the era of exascale computing, the traditional MPI+X paradigm starts losing its strength in taking advantage of heterogeneous systems. Subsequently, research and development on finding alternative programming models and runtimes have become increasingly popular. This encourages comparison, on competitive grounds, of these emerging parallel programming approaches against the traditional MPI+X paradigm. In this work, an implementation of distributed task-based stencil numerical simulation is compared with a MPI+X implementation of the same application. To be more specific, the Legion task-based parallel programming system is used as an alternative to MPI at out-of-node level, while the underlying CUDA-implemented kernels are kept at node level. Therefore, the comparison is as fair as possible and focused on the distributed aspects of the simulation. Overall, the results show that the task-based approach is on par with the traditional MPI approach in terms of both performance and scalability.
基于图形处理器的模板应用中分布式任务的评估
在百亿亿次计算时代,传统的MPI+X范式在利用异构系统方面开始失去其优势。随后,寻找替代编程模型和运行时的研究和开发变得越来越流行。这鼓励在竞争的基础上,将这些新兴的并行编程方法与传统的MPI+X范式进行比较。在这项工作中,基于分布式任务的模板数值模拟实现与相同应用程序的MPI+X实现进行了比较。更具体地说,Legion基于任务的并行编程系统在节点外级别被用作MPI的替代方案,而底层cuda实现的内核则保持在节点级别。因此,比较尽可能公平,并侧重于模拟的分布式方面。总体而言,结果表明,基于任务的方法在性能和可伸缩性方面与传统的MPI方法相当。
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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