In this paper, we discuss the particularities of simulating populating dynamics by using parallel discrete event simulation methodologies.
The accuracy of the simulation results was confirmed by comparing the electric potential of theory and simulation using parallel electrode.
The results illustrate that mpi_EPIC using parallel design can balance simulation workloads and facilitate large-scale, high-resolution analyses of agricultural production systems, management alternatives and environmental effects.
It is found that the current approach is too time consuming for optimisation, even for a 2D simulation using parallel processing.
By using parallel analysis with Monte Carlo simulation from the coarse atmospheric veil by the median filter, the refined smooth haze layer is acquired with both less texture and retaining depth changes.
[2016 R&D 100 Award] Airborne Collision Avoidance System for Unmanned Aircraft (ACAS Xu) was made possible by years of simulations using parallel Matlab (developed by Dr. Kepner) running on thousands of LLSC processors.
It was built from the ground up as a modular, highly extensible system focused on speed of calculations that is to be achieved by using proper simplification of physical and other effects, and by the ability to perform simulations using parallel computing.
