Alberto Cabrera Pérez

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With energy costs now accounting for nearly 30 % of a datacenter’s operating expenses, energy consumption has become an important issue when designing and executing a parallel algorithm. This paper analyzes the energy consumption of MPI applications following the master–slave paradigm. The analytical model is derived for this paradigm and is validated over(More)
Energy consumption and efficiency analysis has raised as an interesting topic to address for high performance computing researchers. Exascale computers, with current capabilities, would require a huge amount of power to operate at full capacity. This has attracted the interest of many researchers in the field contributing to elaborate multiple libraries and(More)
Energy consumption and efficiency is a main issue in high performance computing systems in order to reach exascale computing. Researchers in the field are focusing their effort in reducing the first and increasing the latter while there is no current standard for energy measurement. Current energy measurement tools are specific and architectural dependent(More)
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(More)
Complexity in parallel computation for current HPC systems has being modeled in order to estimate time and energy consumption, which have been conduced to evaluate real costs. Communication analytical models for time and energy comsumption are an attractive issue as part of this cost analysis in parallel computation. In this paper, we present time and(More)
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