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Way of Measuring Data Transfer Delays among Graphics Processing Units at Different Nodes of a Computer Cluster

机译:在计算机群集中的不同节点中的图形处理单元之间测量数据传输延迟的方式

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Abstract The basics of load tests for a computer cluster with a large number of GPUs (graphics processing units) distributed over the cluster’s nodes are presented and implemented as a program code. Information about the time delays in the transfer of data of different sizes among all GPUs in the system is collected as a result. Two modes of tests, ‘‘all to all’’ and ‘‘one to one,’’ are developed. In the first mode, all GPUs transfer data to all GPUs simultaneously. In the second mode, only the transfer between two GPUs proceeds at a single moment in time. Using test results obtained on the K60 computer cluster at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, it is shown that the interconnector medium of the supercomputer is inhomogeneous in data transfer among the GPUs not only for transfer through the network, but also for the GPUs in a common node of the computer cluster.
机译:摘要呈现和实现了分布在群集节点上的大量GPU(图形处理单元)的计算机群集的负载测试的基础知识并实现为程序代码。结果,有关在系统中所有GPU中的不同大小传输数据的时间延迟的信息。开发了两种测试模式,“全部”和“一对一”。在第一模式中,所有GPU同时将数据传输到所有GPU。在第二模式中,只有两个GPU之间的传输在一次时刻进行。使用在K60计算机集群上获得的测试结果,俄罗斯科院K60计算机集群,俄罗斯科院院学院,表明超级计算机的互联介质在GPU之间的数据传输中不仅用于通过网络转移,还可以对于计算机集群的公共节点中的GPU。

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