Parallel shooting methods for finding steady state solutions to engine simulation models
Publication: Research - peer-review › Journal article – Annual report year: 2007
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Parallel shooting methods for finding steady state solutions to engine simulation models. / Andersen, Stig Kildegård; Thomsen, Per Grove; Carlsen, Henrik.
In: Simulation Modelling Practice and Theory, Vol. 15, 2007, p. 1052-1067.Publication: Research - peer-review › Journal article – Annual report year: 2007
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TY - JOUR
T1 - Parallel shooting methods for finding steady state solutions to engine simulation models
A1 - Andersen,Stig Kildegård
A1 - Thomsen,Per Grove
A1 - Carlsen,Henrik
AU - Andersen,Stig Kildegård
AU - Thomsen,Per Grove
AU - Carlsen,Henrik
PB - Elsevier BV
PY - 2007
Y1 - 2007
N2 - Parallel single- and multiple shooting methods were tested for finding periodic steady state solutions to a Stirling engine model. The model was used to illustrate features of the methods and possibilities for optimisations. Performance was measured using simulation of an experimental data set as test case. A parallel speedup factor of 23 on 33 processors was achieved with multiple shooting. But fast transients at the beginnings of sub intervals caused significant overhead for the multiple shooting methods and limited the best speedup to 3.8 relative to the fastest sequential method: Single shooting with reduced dimension of the boundary value problem.
AB - Parallel single- and multiple shooting methods were tested for finding periodic steady state solutions to a Stirling engine model. The model was used to illustrate features of the methods and possibilities for optimisations. Performance was measured using simulation of an experimental data set as test case. A parallel speedup factor of 23 on 33 processors was achieved with multiple shooting. But fast transients at the beginnings of sub intervals caused significant overhead for the multiple shooting methods and limited the best speedup to 3.8 relative to the fastest sequential method: Single shooting with reduced dimension of the boundary value problem.
JO - Simulation Modelling Practice and Theory
JF - Simulation Modelling Practice and Theory
SN - 1569-190X
VL - 15
SP - 1052
EP - 1067
ER -