Towards a High-Performance Modelica Compiler

Agosta, Giovanni; Baldino, Emanuele; Casella, Francesco; Cherubin, Stefano; Leva, Alberto; Terraneo, Federico

doi:10.3384/ecp19157313

Cited by 10 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reduced order model (ROM) of a thermal heat transfer test case (M16_A) has been processed by the tool chain starting from a manual implementation of the matrix equation system in GALEC code. As discussed in Agosta, et al (2019), rigid scalarization, as applied by today's Modelica compilers, leads to an undesired code expansion. Here is room for improvement of the GALEC code generating tools.…”

Section: Performance Benchmarksmentioning

confidence: 99%

eFMI: An open standard for physical models in embedded software

Lenord¹,

Otter²,

Bürger³

et al. 2021

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

This paper summarizes the final research results of the ITEA3 project EMPHYSIS (embedded systems with physical models in the production code software). Its core achievement is the new open eFMI Standard enabling automated workflows from high-level mathematical models of physical systems (referred to as physical models) to automotive compliant embedded software. eFMI (FMI for embedded systems) defines a container architecture for model exchange and testing. Multiple representations from an intermediate representation of sampled algorithms (GALEC) to production and binary code for specific embedded targets are maintained in a traceable workspace. The successful integration of the developed eFMI tooling is demonstrated by a comprehensive open source Modelica test cases library and industrial demonstrators. The readiness of the proposed approach is proven by compliance checks according to common automotive code quality standards like MISRA C:2012 and a performance benchmark in terms of runtime and resource demand in comparison with state-of-the-art hand coded solutions.

show abstract

Section: Performance Benchmarksmentioning

confidence: 99%

eFMI: An open standard for physical models in embedded software

Lenord¹,

Otter²,

Bürger³

et al. 2021

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

show abstract

“…The choice of solvers is usually limited by the choice of the tool used for modeling. For the Modelica language, using sparse solvers [59] or more efficient compilers as in [60] has been proposed. Using differential algebraic equation (DAE) system solvers rather than ODE solvers has also shown large improvements for power grid models [61].…”

Section: Methodsmentioning

confidence: 99%

Experiences from City-Scale Simulation of Thermal Grids

et al. 2021

View full text Add to dashboard Cite

Dynamic simulation of district heating and cooling networks has an increased importance in the transition towards renewable energy sources and lower temperature district heating grids, as both temporal and spatial behavior need to be considered. Even though much research and development has been performed in the field, there are several pitfalls and challenges towards dynamic district heating and cooling simulation for everyday use. This article presents the experiences from developing and working with a city-scale simulator of a district heating grid located in Luleå, Sweden. The grid model in the case study is a physics based white-box model, while consumer models are either data-driven black-box or gray-box models. The control system and operator models replicate the manual and automatic operation of the combined heat and power plant. Using the functional mock-up interface standard, a co-simulation environment integrates all the models. Further, the validation of the simulator is discussed. Lessons learned from the project are presented along with future research directions, corresponding to identified gaps and challenges.

show abstract

“…The goal was to investigate the advantages and disadvantages of having OMC target LLVM instead of C. The investigation was also performed to examine if targeting LLVM would be a viable option to achieve efficient Just-intime compilation (JIT). Another approach with similar goals was conducted by (Agosta et al, 2019). While OMLB currently is not complete enough for bootstrapping, it demonstrates the benefits of having an LLVM based backend and JIT.…”

Section: The Openmodelica Llvm Backend (Omlb)mentioning

confidence: 99%

The OpenModelica Integrated Environment for Modeling, Simulation, and Model-Based Development

Fritzson¹,

Pop²,

Abdelhak³

et al. 2020

MIC

Self Cite

View full text Add to dashboard Cite

OpenModelica is a unique large-scale integrated open-source Modelica-and FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as debugging; optimization; visualization and 3D animation; web-based model editing and simulation; scripting from Modelica, Python, Julia, and Matlab; efficient simulation and co-simulation of FMI-based models; compilation for embedded systems; Modelica-UML integration; requirement verification; and generation of parallel code for multi-core architectures. The environment is based on the equation-based object-oriented Modelica language and currently uses the MetaModelica extended version of Modelica for its model compiler implementation. This overview paper gives an up-to-date description of the capabilities of the system, short overviews of used open source symbolic and numeric algorithms with pointers to published literature, tool integration aspects, some lessons learned, and the main vision behind its development.

show abstract

Towards a High-Performance Modelica Compiler

Cited by 10 publications

References 12 publications

eFMI: An open standard for physical models in embedded software

eFMI: An open standard for physical models in embedded software

Experiences from City-Scale Simulation of Thermal Grids

The OpenModelica Integrated Environment for Modeling, Simulation, and Model-Based Development

Contact Info

Product

Resources

About