Modelica PARallel benchmark suite (MPAR): a test suite for evaluating the performance of parallel simulations of Modelica models - Couverture souple

Hemmati Moghadam, Afshin

 
9783847370444: Modelica PARallel benchmark suite (MPAR): a test suite for evaluating the performance of parallel simulations of Modelica models

Synopsis

Using the object-oriented, equation-based modeling language Modelica, it is possible to model and simulate computationally intensive models. To reduce the simulation time, a desirable approach is to perform the simulations on parallel multi-core platforms. For this purpose, several works have been carried out so far, the most recent one includes language enhancements with explicit parallel programing language constructs in the algorithmic parts of the Modelica language. This extension automatically generates parallel simulation code for execution on OpenCL-enabled platforms, and it has been implemented in the open-source OpenModelica environment. However, to ensure that this extension as well as future developments regarding parallel simulations of Modelica models is feasible, performing a systematic benchmarking with respect to a set of appropriate Modelica models is essential, which is the main focus of study in this work.

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Présentation de l'éditeur

Using the object-oriented, equation-based modeling language Modelica, it is possible to model and simulate computationally intensive models. To reduce the simulation time, a desirable approach is to perform the simulations on parallel multi-core platforms. For this purpose, several works have been carried out so far, the most recent one includes language enhancements with explicit parallel programing language constructs in the algorithmic parts of the Modelica language. This extension automatically generates parallel simulation code for execution on OpenCL-enabled platforms, and it has been implemented in the open-source OpenModelica environment. However, to ensure that this extension as well as future developments regarding parallel simulations of Modelica models is feasible, performing a systematic benchmarking with respect to a set of appropriate Modelica models is essential, which is the main focus of study in this work.

Biographie de l'auteur

He received his BSc in computer science from Bahonar University in Iran at 2008. He also got his MSc in Software Engineering and Management from Linköping University in Sweden at 2011. Currently, he is working as a researcher and developer in the R&D department at Ericsson Company in Sweden.

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