Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
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DOI：
10.1109/icpp.2007.39
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发表时间：
2007-09
期刊：
影响因子：
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通讯作者：
Ziliang Zong;X. Qin;X. Ruan;K. Bellam;Mais Nijim;Mohammed I. Alghamdi
中科院分区：
文献类型：
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作者：
Ziliang Zong;X. Qin;X. Ruan;K. Bellam;Mais Nijim;Mohammed I. Alghamdi
高性能集群已被广泛用于为商业和科学应用程序提供惊人的计算能力。然而，巨大的功耗阻碍了大规模集群的进一步应用。为运行在集群上的并行应用程序，特别是高性能异构集群上的并行应用程序，设计高效的调度算法是非常必要的。为此，我们提出了一种新的调度策略，即能源效率任务复制调度（energy efficient task duplication schedule，简称EETDS），该调度策略在将并行任务分配给异构计算节点时，通过合理地减少通信能耗，可以显著节省电力。本文给出了高斯和FFT并行任务模型的初步仿真结果，以证明该算法的有效性。
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has prevented the further application of large-scale clusters. Designing energy-efficient scheduling algorithms for parallel applications running on clusters, especially on the high performance heterogeneous clusters, is highly desirable. In this regard, we propose a novel scheduling strategy called energy efficient task duplication schedule (EETDS for short), which can significantly conserve power by judiciously shrinking communication energy cost when allocating parallel tasks to heterogeneous computing nodes. We present the preliminary simulation results for Gaussian and FFT parallel task models to prove the efficiency of our algorithm.