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  • 1.
    Pop, Adrian
    et al.
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
    Östlund, Per
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
    Casella, Francesco
    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
    Sjölund, Martin
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
    Franke, Rüdiger
    ABB, IAPG-A26, Kallstadter Str. 1, Mannheim, Germany.
    A New OpenModelica Compiler High Performance Frontend2019In: Proceedings of the 13th International Modelica Conference, Regensburg, Germany, March 4–6, 2019 / [ed] Anton Haumer: OTH Regensburg, Germany, Linköping, 2019Conference paper (Refereed)
    Abstract [en]

    The equation-based object-oriented Modelica language allows easy composition of models from components. It is very easy to create very large parametrized models using component arrays of models. Current open-source and commercial Modelica tools can with ease handle models with a hundred thousand equations and a thousand states. However, when the system size goes above half a million (or more) equations the tools begin to have problems with scalability. This paper presents the new frontend of the OpenModelica compiler, designed with scalability in mind. The new OpenModelica frontend can handle much larger systems than the current one with better time and memory performance. The new frontend was validated against large models from the ScalableTestSuite library and Modelica Standard Library, with good results.

  • 2.
    Östlund, Per
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Stavåker, Kristian
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Fritzson, Peter
    Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
    Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs2010In: Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented Scientific Computing POOSC '10, New York, USA: ACM , 2010Conference paper (Refereed)
    Abstract [en]

    Our contributions with this work are methods and a prototype implementation for compiling and executing a limited set of equation-based mathematical models (written in the object-oriented equation-based modeling language Modelica) on CUDA-enabled GPUs. We look at methods of finding parallelism in Modelica models, that can be used on the massively parallel CUDA architecture. The methods have been implemented in a new back-end module of the OpenModelica compiler (an open-source Modelica compiler). This paper shows that it is possible to automatically generate simulation code for pure continuous-time models that can be reduced to an ordinary differential equation system without algebraic loops and where the initial values of all variables and parameters are known at compile time. It is possible to get some speedup compared with simulation on a single CPU core, a (approximated) relative speedup of 4.6 was for instance obtained for one model.

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