%0 Journal Article
%T Distributed Strategy for Power Re-Allocation in High Performance Applications
%A Vaibhav Sundriyal
%A Masha Sosonkina
%J Journal of Computer and Communications
%P 142-158
%@ 2327-5227
%D 2020
%I Scientific Research Publishing
%R 10.4236/jcc.2020.812014
%X To improve the power consumption of parallel applications at the runtime, modern processors provide frequency scaling and power limiting capabilities. In this work, a runtime strategy is proposed to distribute a given power allocation among the cluster nodes assigned to the application while balancing their performance change. The strategy operates in a timeslice-based manner to estimate the current application performance and power usage per node followed by power redistribution across the nodes. Experiments, performed on four nodes (112 cores) of a modern computing platform interconnected with Infiniband showed that even a significant power budget reduction of 20% may result in a performance degradation of as low as 1% under the proposed strategy compared with the execution in the unlimited power case.
%K Multinode Power Allocation
%K RAPL
%K UFS
%K DVFS
%K Maximizing Performance
%K Component Power
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=106117