Automatic GPU Code Generation of Modelica Functions

Hilding Elmqvist; Hans Olsson; Axel Goteman; Vilhelm Roxling; Dirk Zimmer; Alexander Pollok

Title:

Author:

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

DOI:

10.3384/ecp15118235

Download:

Full text (pdf)

Year:

2015

Conference:

Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Issue:

118

Article no.:

025

Pages:

235-243

No. of pages:

Publication type:

Abstract and Fulltext

Published:

2015-09-18

ISBN:

978-91-7685-955-1

Series:

Linköping Electronic Conference Proceedings

ISSN (print):

1650-3686

ISSN (online):

1650-3740

Publisher:

Linköping University Electronic Press, Linköpings universitet

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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.

Keywords: Modelica functions; Multi-core; GPU; CFD

Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Author:

Hilding Elmqvist, Hans Olsson, Axel Goteman, Vilhelm Roxling, Dirk Zimmer, Alexander Pollok

Title:

Automatic GPU Code Generation of Modelica Functions

DOI:

http://dx.doi.org/10.3384/ecp15118235

References:

Dassault Systèmes (2015): Dymola 2016. http://www.Dymola.com

Elmqvist H., Mattsson S.E., Olsson H. (2014): Parallel Model Execution on Many Cores. Proceedings of the 10th International Modelica Conference March 10-12, 2014, Lund, Sweden.

Gebremedhin M., Hemmati Moghadam A., Fritzson F., Stavåker K. (2012): A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms. Proceedings 9th Modelica Conference, Munich, Germany, September 3-5, pp. 393-404. Download: http://www.ep.liu.se/ecp/076/041/ecp12076041.pdf

Goteman A., Roxling V. (2015): GPU Usage for Parallel Funcions and Contacts in Modelica, master’s thesis Lund Institute of Technology, Lund, Sweden. (To be published)

Kirk D.B., Hwu W. (2013): Programming Massively Parallel Processors, 2nd edition.

Modelica (2014): Modelica, A Unified Object-Oriented Language for Systems Modeling. Language Specification, Version 3.3, Revision 1, June 11, 2014.
https://www.modelica.org/documents/ModelicaSpec33Revision1.pdf

Vreugdenhil C.B. (1994), Numerical Methods for Shallow-Water Flow, Kluwer Academic Publishers, ISBN 0792331648

Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Author:

Hilding Elmqvist, Hans Olsson, Axel Goteman, Vilhelm Roxling, Dirk Zimmer, Alexander Pollok

Title:

Automatic GPU Code Generation of Modelica Functions

DOI:

https://doi.org10.3384/ecp15118235

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