一种新的高性能计算集群端到端流量控制机制

Javier Prades, F. Silla, J. Duato, H. Fröning, M. Nüssle
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引用次数: 3

摘要

高性能计算通常利用诸如MPI或GASNet之类的消息传递库,以便在大规模集群中的进程之间交换数据。此外,这些库利用专门的低级网络层,以便从硬件互连(例如Infini Band或Myrinet)中获取尽可能多的性能。EXTOLL是另一种针对高性能集群的新兴技术。这些专门的低级网络层需要某种流量控制,以防止接收端的缓冲区溢出。本文提出了一种新的流量控制机制,该机制能够根据并行应用程序通信模式和通信对等体之间不同的活动来调整进程所使用的缓冲资源。在64节点1024核EXTOLL集群中进行的测试表明,我们的新动态流控制机制提供了非常高的缓冲效率,开销非常低,减少了8到10倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New End-to-End Flow-Control Mechanism for High Performance Computing Clusters
High Performance Computing usually leverages messaging libraries such as MPI or GASNet in order to exchange data among processes in large-scale clusters. Furthermore, these libraries make use of specialized low-level networking layers in order to retrieve as much performance as possible from hardware interconnects such as Infini Band or Myrinet, for example. EXTOLL is another emerging technology targeted for high performance clusters. These specialized low-level networking layers require some kind of flow control in order to prevent buffer overflows at the received side. In this paper we present a new flow control mechanism that is able to adapt the buffering resources used by a process according to the parallel application communication pattern and the varying activity among communicating peers. The tests carried out in a 64-node 1024-core EXTOLL cluster show that our new dynamic flow-control mechanism provides extraordinarily high buffer efficiency along with very low overhead, which is reduced between 8 and 10 times.
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