A basic model for profiling power consumption in HPC subsystems

The emergence of the term `Green Computing' itself is sufficient to describe its need. Regarding computers, energy estimation is the first step towards optimization. This paper describes a simple model which generates profiling results for scientific applications. It is designed to analyze a software process in order to identify its power consuming components (e.g. Instruction Count). The study specifically aims at the CPU and the RAM as two main subsystems, since the Computing Machine is a highly complex association and every part of it contributes to the energy consumption. The formulation process of this model as well as its application are presented and discussed. The results obtained out of these experimentations are also presented.