提高高性能计算(HPC)的能源效率:达累斯萨拉姆理工学院HPC设施的案例研究

Damas A. Makweba, D. Simbeye
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引用次数: 0

摘要

对于在包括坦桑尼亚在内的发展中国家部署高性能计算(HPC)设施的机构来说,电力仍然是一个具有挑战性的问题。这些机构,如达累斯萨拉姆理工学院(DIT),由于高性能计算系统的计算操作造成的高能耗,可能面临高昂的运营成本。由于超高的能源成本,降低能源消耗已经成为部署高性能计算系统的主要关注点。本文采用实证模型(EM)预测了2018年和2019年运行高性能计算系统的功率和成本运行趋势。结果表明,该混合算法在优化系统配置的同时,还能最大限度地减少完成时间,提高吞吐量,从而降低能耗,最大限度地提高资源利用率。实验结果表明,Infiniband交换机可节省高达10.7%的能量,而所提出的混合算法由于能量的减少可减少高达25%的时间。
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Improvement of Energy-Efficiency in High Performance Computing (HPC): A Case Study of the HPC Facility at the Dar es Salaam Institute of Technology
Power continues to be a challenging problem facing institutions which are deploying high performance computing (HPC) facility in developing countries including Tanzania. These institutions like Dar es Salaam Institute of Technology (DIT) can face high operational costs due to the high energy consumption caused by computational operations of HPC systems. Because of the exceedingly high energy cost, diminishing energy consumption has become a major concern in deploying HPC systems. This manuscript per the authors used empirical modeling (EM) to predict the trends of power and cost operation for the year 2018 and 2019 on running HPC system. It was noticed that in addition to optimizing the system configuration, the proposed hybrid algorithm can both minimize completion time while increasing throughput as a result of decreasing energy consumption and maximize resource utilization. The experimental results showed that Infiniband switch can save energy up to 10.7% and the proposed hybrid algorithm can reduce time up to 25% as a result of energy reduction.
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