Analytical Modeling of the Energy Consumption for the High Performance Linpack

Comparable to time performance models, it is now possible to estimate performance based upon energy consumption for HPC systems. The predictive ability of the analytical modeling is an interesting feature that motivates us to approach this methodology for the case of energy consumption. In this paper, we present an analytical model for predicting the energy consumption for the High Performance Linpack (HPL). The derived model can be used to know in advance the energy consumed by the HPL over a target architecture, and can be integrated into the schedulers of operating systems or queue managers. We established an experimental setup using a standard metered PDU that allowed us to measure the energy consumption for the HPL benchmark on our cluster. With the monitoring system in place, we can obtain the architectural and algorithmic parameters associated for both performance and energy analytical models. Also this has made possible watts and gflops-per-watt prediction when we execute Linpack executions with concrete algorithm parameters in our cluster.