Performance scalability and energy consumption on distributed and many-core platforms

In this paper, the performance evaluation of distributed and many-core computer complexes, in conjunction with their consumed energy, is investigated. The distributed execution of a specific problem on an interconnected processors platform requires a larger amount of energy compared to the sequential execution. The primary reason is the inability to fully parallelize a problem due to the unavoidable serial parts and the intercommunication of utilized processors. Distributed and many-core platforms are evaluated for the power their processors demand at the idle and fully utilized state. In proportion to the parallelized percentage each time, the estimations of the theoretical model were compared to the experimental results achieved on the basis of the performance/power and performance/energy ratio metrics. Analytical formulas for evaluating the experimental energy consumption have been developed for both platforms, while the experimental vehicle was a widely known algorithm with different parallelization percentages.