检查点和重启:集群中的能耗特征分析

Marina Moran, Javier Balladini, Dolores Rexachs, Emilio Luque
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引用次数: 0

摘要

目前高性能计算(HPC)中使用的容错方法是使用检查点进行回滚恢复的方法。与其他容错方法一样,这种方法也会在执行应用程序的过程中增加额外的能耗。这项工作的目的是确定在 SPMD(单程序多数据)应用中执行检查点和重启操作时,影响同构集群上计算节点能耗的因素。考虑到硬件和软件参数的不同配置,我们重点研究了计算节点的能耗。我们研究了处理器的性能状态(状态 P)和功率状态(状态 C)、应用问题大小、检查点软件(DMTCP)和分布式文件系统(NFS)配置的影响。通过分析结果,我们发现了减少检查点和重启操作能耗的机会。
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Checkpoint and Restart: An Energy Consumption Characterization in Clusters
The fault tolerance method currently used in High Performance Computing (HPC) is the rollback-recovery method by using checkpoints. This, like any other fault tolerance method, adds an additional energy consumption to that of the execution of the application. The objective of this work is to determine the factors that affect the energy consumption of the computing nodes on homogeneous cluster, when performing checkpoint and restart operations, on SPMD (Single Program Multiple Data) applications. We have focused on the energetic study of compute nodes, contemplating different configurations of hardware and software parameters. We studied the effect of performance states (states P) and power states (states C) of processors, application problem size, checkpoint software (DMTCP) and distributed file system (NFS) configuration. The results analysis allowed to identify opportunities to reduce the energy consumption of checkpoint and restart operations.
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