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Hybrid HPC Cloud Strategies from the Student Cluster Competition

机译:来自学生群体竞赛的混合HPC云策略

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The value of running high performance and throughput applications on cloud or on-premises resources is a topic of increasing importance. At the annual Student Cluster Competition at the SC conference, teams race High Performance Compute (HPC) clusters for 46 hours straight to find solutions to scientific and engineering application workloads. In 2017, a cloud component was added, and students were tasked with deciding how to best to use the cloud. They had to decide which competition applications should run in the cloud versus their on-premises clusters and efficiently manage their computing budget, both in terms of on-premises power and their monetary cloud budget. Using these teams' experiences as a case study, we have a unique opportunity to examine and glean insights from the strategies, outcomes and attitudes toward using a hybrid model for HPC.
机译:在云或本地资源上运行高性能和吞吐量应用程序的价值日益重要。在SC会议上的年度学生集群竞赛中,团队连续进行了46个小时的高性能计算(HPC)集群竞赛,以找到针对科学和工程应用程序工作负载的解决方案。在2017年,增加了一个云组件,并要求学生决定如何最好地使用云。他们必须决定哪些竞争应用程序应在其内部部署集群中运行在云中,并有效地管理其计算预算(无论是内部部署能力还是其货币云预算)。利用这些团队的经验作为案例研究,我们有一个独特的机会来检查和收集使用HPC混合模型的策略,结果和态度中的见解。

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