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Title
Japanese: 
English:Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters 
Author
Japanese: 濱野 智明, 遠藤 敏夫, 松岡 聡.  
English: Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka.  
Language English 
Journal/Book name
Japanese: 
English:2009 IEEE International Symposium on Parallel&Distributed Processing 
Volume, Number, Page         pp. 1--8
Published date May 2009 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English:The Fifth Workshop on High-Performance, Power-Aware Computing (HPPAC), in conjunction to IEEE IPDPS 2009 
Conference site
Japanese: 
English:Rome, Italy 
DOI https://doi.org/10.1109/IPDPS.2009.5160977
Abstract Recent accelerators such as GPUs achieve better cost-performance and watt-performance ratio, while the range of their application is more limited than general CPUs. Thus heterogeneous clusters and supercomputers equipped both with acclerators and general CPUs are becoming popular, such as LANL RoadRunner and our own TSUBAME supercomputer. Under the assumption that many applications will run both on CPUs and accelerators but with varying speed and power consumption characteristics, we propose a task scheduling scheme that optimize overall energy consumption of the system. We model task scheduling in terms of the scheduling makespan and energy to be consumed for each scheduling decision. We define acceleration factor to normalize the effect of acceleration per each task. The proposed scheme attempts to improve the energy efficiency by effectively self adjusting the threshold on the scheduling using the acceleration factor depending on the results of its own scheduling. Although in the paper we adopted the popular EDP (Energy-Delay Product) as the optimization metric, our scheme is agnostic on the optimization function. Simulation studies on various sets of tasks with mixeed acceleration factors, the overall makespan closely matched the theoretical optimal, while the energy consumption was saved up to 13.8%.

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