Energy and Power Evaluation of Parallel Devs Simulations on Multicore Architectures

We propose an energy and power evaluation for the execution of Discrete Event System Specification (DEVS) simulations in parallel shared memory architectures. Our approach evaluates how time, energy, and power scales when we increase the number of CPU-cores on multicore architectures. To perform our evaluation, we present the results of a set of experiments using a synthetic benchmark and a real-world scenario. The results obtained show how executing in parallel accelerates the execution up to 3.03 times, while reducing the energy used by up to 44.7%. However, executing in parallel increases the power consumption by up to 67.5%.