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引用次数: 19

摘要

随着现代集群中每个节点的核心数量的增加,节点内通信的有效实现对应用程序性能至关重要。MPI库通常使用共享内存机制在节点内部进行通信,不幸的是,这种方法对于大型消息有一些限制。Linux内核3.2的发布引入了跨内存附加(CMA),这是一种改善同一节点内MPI进程之间通信的机制。但是,由于该特性在支持它的MPI库中没有默认启用,因此HPC管理员可能会禁用它,从而导致用户失去性能优势。在本文中,我们解释了如何使用CMA,并使用微基准测试和NAS并行基准测试(NPB)对CMA进行评估,这是一组通常用于评估并行系统的应用程序。我们的性能评估显示,对于大型消息,CMA的性能优于共享内存。微观基准水平的评估表明,CMA可以提高多达四倍的性能。使用NPB,我们看到FT的总执行时间提高了24.75%,IS的总执行时间提高了24.08%。
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Benefits of Cross Memory Attach for MPI libraries on HPC Clusters
With the number of cores per node increasing in modern clusters, an efficient implementation of intra-node communications is critical for application performance. MPI libraries generally use shared memory mechanisms for communication inside the node, unfortunately this approach has some limitations for large messages. The release of Linux kernel 3.2 introduced Cross Memory Attach (CMA) which is a mechanism to improve the communication between MPI processes inside the same node. But, as this feature is not enabled by default inside MPI libraries supporting it, it could be left disabled by HPC administrators which leads to a loss of performance benefits to users. In this paper, we explain how to use CMA and present an evaluation of CMA using micro-benchmarks and NAS parallel benchmarks (NPB) which are a set of applications commonly used to evaluate parallel systems. Our performance evaluation reveals that CMA outperforms shared memory performance for large messages. Micro-benchmark level evaluations show that CMA can enhance the performance by as much as a factor of four. With NPB, we see up to 24.75% improvement in total execution time for FT and up to 24.08% for IS.
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