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A Comparison of Power Management Mechanisms: P-States vs. Node-Level Power Cap Control

机译:电源管理机制的比较:P状态与节点级功率限额控制

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Large-scale HPC systems increasingly incorporate sophisticated power management control mechanisms. While these mechanisms are potentially useful for performing energy and/or power-aware job scheduling and resource management (EPA JSRM), greater understanding of their operation and performance impact on real-world applications is required before they can be applied effectively in practice. In this paper, we compare static p-state control to static node-level power cap control on a Cray XC system. Empirical experiments are performed to evaluate node-to-node performance and power usage variability for the two mechanisms. We find that static p-state control produces more predictable and higher performance characteristics than static node-level power cap control at a given power level. However, this performance benefit is at the cost of less predictable power usage. Static node-level power cap control produces predictable power usage but with more variable performance characteristics. Our results are not intended to show that one mechanism is better than the other. Rather, our results demonstrate that the mechanisms are complementary to one another and highlight their potential for combined use in achieving effective EPA JSRM solutions.
机译:大型HPC系统越来越多地采用复杂的电源管理控制机制。虽然这些机制对于执行能源和/或功耗感知的作业调度和资源管理(EPA JSRM)可能很有用,但在有效地将它们有效地应用于实践之前,需要对其操作和性能对实际应用程序的影响有更深入的了解。在本文中,我们将Cray XC系统上的静态p状态控制与静态节点级功率限额控制进行了比较。进行经验实验以评估这两种机制的节点到节点性能和功耗变化。我们发现,在给定功率水平下,静态p状态控制比静态节点级功率上限控制产生更多的可预测性和更高的性能特征。但是,这种性能优势是以降低可预测的功耗为代价的。静态节点级功率限额控制可产生可预测的功率使用量,但具有更多可变的性能特征。我们的结果并非旨在表明一种机制优于另一种机制。相反,我们的结果表明,这些机制是相互补充的,并突出了它们在实现有效EPA JSRM解决方案中组合使用的潜力。

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