Hilding Elmqvist
Dassault Systemes, Lund, Sweden
Hans Olsson
Dassault Systemes, Lund, Sweden
Axel Goteman
Dassault Systemes, Lund, Sweden / Lund Institute of Technology, Lund, Sweden
Vilhelm Roxling
Dassault Systemes, Lund, Sweden / Lund Institute of Technology, Lund, Sweden
Dirk Zimmer
Institute of System Dynamics and Control, DLR, Germany
Alexander Pollok
Institute of System Dynamics and Control, DLR, Germany
Ladda ner artikel
http://dx.doi.org/10.3384/ecp15118235Ingår i: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015
Linköping Electronic Conference Proceedings 179:25, s. 235-243
Publicerad: 2015-09-18
ISBN: 978-91-7685-955-1
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Modelica users can and want to build more realistic and complex models. This typically means slower simulations. The speed of CPU has of course increased enormously to partly compensate. But now it’s important to utilize the many cores.
This paper discusses code generation for GPU cores. This is important when the model has regular structure, for example, discretization of PDEs. The behavior of each cell can then be partly described by a function call. The evaluation of such calls can then be made in parallel on the GPU cores. The same function is thus executed on every GPU core but operates on different data; the data of its cell.
Our GPU code generator automatically generates code for Modelica functions, i.e. no additional language constructs are needed. The function is just annotated as suitable for execution on a GPU.
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