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 envi...

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Bibliographic Details
Published in2010 IEEE International Conference on Systems, Man and Cybernetics pp. 923 - 930
Main Authors de Carvalho, R M, Lima, R M F, de Oliveira, A L I, Santos, F C G
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Coloured Petri Nets
dependencies
Kernel
Lead
Manuals
Parallel jobs
Schedules
scheduling
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Summary: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.
ISBN:1424465869
9781424465866
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2010.5641882