Energy-Aware Execution of Fork-Join-Based Task Parallelism

@article{Rauber2012EnergyAwareEO,
  title={Energy-Aware Execution of Fork-Join-Based Task Parallelism},
  author={Thomas Rauber and Gudula R{\"u}nger},
  journal={2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems},
  year={2012},
  pages={231-240}
}
In this article, we use an analytical energy model based on frequency scaling to model the energy consumption of tasks in a fork-join pattern of parallelism. In particular, tasks that may be executed concurrently to each other are considered, and the resulting energy consumption for different processor assignments is investigated. Frequency scaling factors that lead to a minimum energy consumption are derived and used in task-based scheduling algorithms. An experimental evaluation provides… CONTINUE READING
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