GPU performance impact of the Durkin's radio propagation algorithm
Date Issued
2013-11-26
Author(s)
Djinevski, Leonid
Abstract
Network simulators are important tools when
used by researchers. However, complex simulations for largescale networks (especially if the scenarios are realistic, i.e.
introducing terrain details) results in unreasonably long
response from the simulator. High performance parallel
resources like GPU devices are solution for obtaining results
in reasonable time. Additionally, the latest GPU generations
have architecture that enables the developer to configure
different input parameters, in order to achieve better
performance. In this paper we evaluate the performance
impact of these configurations for various resolutions of
terrains. The obtained results show that there is an impact on
the performance, however it is not significant.
used by researchers. However, complex simulations for largescale networks (especially if the scenarios are realistic, i.e.
introducing terrain details) results in unreasonably long
response from the simulator. High performance parallel
resources like GPU devices are solution for obtaining results
in reasonable time. Additionally, the latest GPU generations
have architecture that enables the developer to configure
different input parameters, in order to achieve better
performance. In this paper we evaluate the performance
impact of these configurations for various resolutions of
terrains. The obtained results show that there is an impact on
the performance, however it is not significant.
Subjects
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