Federico Bergero
CIFASIS, CONICET, Argentina / FCEIA, UNR, Argentina
Mariano Bott
FCEIA, UNR, Argentina
Esteban Campostrini
FCEIA, UNR, Argentina
Ernesto Kofman
CIFASIS, CONICET, Argentina / FCEIA, UNR, Argentina
Ladda ner artikel
http://dx.doi.org/10.3384/ecp15118449Ingår i: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015
Linköping Electronic Conference Proceedings 118:48, s. 449-458
Publicerad: 2015-09-18
ISBN: 978-91-7685-955-1
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In this work, we present a novel methodology to efficiently compile large scale dynamical systems described Modelica models, and its implementation in a prototype Modelica Compiler called ModelicaCC. The methodology allows to perform the different stages of the compilation process without expanding the content of repetitive structures so the resources (CPU time and memory) used by the compiler result independent on the model size. Besides introducing the methodology with their algorithms and the implementation in the ModelicaCC compiler, we analyze their efficiency comparing its performance with that of OpenModelica in different large scale models.
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