An ISO-Energy-Efficient Approach to Scalable System Power-Performance Optimization

An ISO-Energy-Efficient Approach to Scalable System Power-Performance Optimization
复制标题

用于可扩展系统功耗性能优化的 ISO 节能方法

DOI:
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发表时间:
2011
期刊:
IEEE International Conference on Cluster Computing
影响因子:
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通讯作者:
K. Cameron
K. Cameron
中科院分区:
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文献类型:
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作者:
S. Song;M. Grove;K. Cameron

文献摘要

被引文献

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大规模系统的功耗最终限制了其性能。消耗较少的能量的同时保持性能会导致大规模的系统利用率更好。提出了IS O能效率模型作为解释可扩展系统功率和性能效率的指标和方法。在实践中,我们需要确定应修改哪些参数以保持所需的效率。不幸的是,如果没有扩展,则不能将ISO-Energy效率模型用于此目的。在本文中,我们扩展了ISO-Energy效率模型,以确定簇上的工作负载和功率缩放的适当效率值。我们建议使用“相关函数”来定量解释这两个参数在三个代表性应用中的孤立和相互作用效应:linpack,linpack,cow tiendiendiendiendiendiendiendiendiendentiendiendiendier tiendier tirendier tirier suplusifation和3D傅立叶变换。我们定量地表明,具有相关函数的ISO-Energy效率模型可有效地保持效率作为系统尺寸尺度。
The power consumption of a large scale system ultimately limits its performance. Consuming less energy while preserving performance leads to better system utilization at scale. The is o-energy-efficiency model was proposed as a metric and methodology for explaining power and performance efficiency on scalable systems. For use in practice, we need to determine what parameters should be modified to maintain a desired efficiency. Unfortunately, without extension, the iso-energy-efficiency model cannot be used for this purpose. In this paper we extend the iso-energy-efficiency model to identify appropriate efficiency values for workload and power scaling on clusters. We propose the use of "correlation functions" to quantitatively explain the isolated and interacting effects of these two parameters for three representative applications: LINPACK, row-oriented matrix multiplication, and 3D Fourier transform. We show quantitatively that the iso-energy-efficiency model with correlation functions is effective at maintaining efficiency as system size scales.