Multiplexing endpoints of HCA to achieve scalability for MPI applications: design, implementation and performance evaluation with uDAPL

Jasjit Singh, Yogeshwar Sonawane
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Abstract

With an ever increasing demand for computing power, number of nodes to be deployed in a cluster based supercomputer is increasing. Limited hardware resources such as Endpoints on HCA of a high speed interconnect limit the scalability of a parallel application based on MPI that sets up reliable connections between every process pair using endpoints, prior to communication. In this paper, we propose a novel approach of multiplexing endpoints to extend scalability. We discuss critical design issues in connection management and data transfer routines with the multiplexing technique. Using this approach, we are able to scale up MPI applications with nearly equal or better performance with the same HCA.
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HCA的多路复用端点实现MPI应用的可扩展性:用uDAPL设计、实现和性能评估
随着对计算能力需求的不断增长,需要部署在基于集群的超级计算机中的节点数量也在不断增加。有限的硬件资源(如高速互连的HCA上的端点)限制了基于MPI的并行应用程序的可伸缩性,该应用程序在通信之前使用端点在每个进程对之间建立可靠的连接。在本文中,我们提出了一种新的复用端点的方法来扩展可扩展性。我们讨论了使用多路复用技术的连接管理和数据传输例程中的关键设计问题。使用这种方法,我们能够在相同的HCA下扩展具有几乎相同或更好性能的MPI应用程序。
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