Reducing power usage on demand

17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Corbett, G.^1 ; Dewhurst, A.^1

Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Oxford, Didcot

OX11 0QX, United Kingdom^1

关键词: Energy saving schemes;    Financial incentives;    HEP experiments;    High performance computing;    Normal operating conditions;    Reducing power;    Science and Technology;    Scientific community;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/762/1/012026/pdf
DOI  :  10.1088/1742-6596/762/1/012026

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The Science and Technology Facilities Council (STFC) datacentre provides large-scale High Performance Computing facilities for the scientific community. It currently consumes approximately 1.5MW and this has risen by 25% in the past two years. STFC has been investigating leveraging preemption in the Tier 1 batch farm to save power. HEP experiments are increasing using jobs that can be killed to take advantage of opportunistic CPU resources or novel cost models such as Amazon's spot pricing. Additionally, schemes from energy providers are available that offer financial incentives to reduce power consumption at peak times. Under normal operating conditions, 3% of the batch farm capacity is wasted due to draining machines. By using preempt-able jobs, nodes can be rapidly made available to run multicore jobs without this wasted resource. The use of preempt-able jobs has been extended so that at peak times machines can be hibernated quickly to save energy. This paper describes the implementation of the above and demonstrates that STFC could in future take advantage of such energy saving schemes.