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Performance and energy evaluation of parallel particle simulation algorithms for different input particle data

Kiesel Robert, Rünger Gudula

Annals of Computer Science and Information Systems

2019

Vol. 19

31--37

Particle simulations are popular methods for the simulation of applications from a wide range of sciences, including astrophysics, biology or chemistry. Usually, these applications require a large number of simulation steps, each of which computes a change of the entire particle system. Depending on the number of simulation steps and also the size and structure of the specific particle system, the computation time can be quite large and the exploitation of parallel architectures is usually necessary. In this article, we investigate the performance and energy consumption for different particle simulation methods and distinguish different input particle data. The investigations are done for the particle simulation methods from the ScaFaCoS library and use the various input data of homogeneous or in-homogeneous nature. Experiments are performed on multicore systems.