Identifying parallel jobs for Multi-Physics simulators scheduling

Real problem simulations involving physic phenomena can demand too much execution time. To improve the performance of these simulations it is necessary to have an approach to parallelize the processes that compose the simulation. MPhyScaS (Multi-Physics and Multi-Scale Solver Environment) is an environment dedicated to the automatic development of simulators. Each MPhyScaS simulation demands a great amount of time. To parallelize MPhyScaS simulations, the approach used should define a hierarchical parallel structure. The aim of the work herein presented is to identify parallel jobs and dependent ones. The presented model is based on Coloured Petri Nets (CPN). This information will be input to a scheduling algorithm.