Sometimes using a different C compiler can result in a model simulating faster, as described in this optimisation blog. In this post we look at how the different Windows compilers, Visual Studio, Visual Studio with Clang, MinGW and MinGW with Clang can be used to compile a Dymola model...
Tag Archive for: simulation speed
The Analytical Jacobian
Dymola is a tool built around advanced symbolic manipulation. Many solver algorithms and numerical methods are / can be utilized to solve the models created within Dymola. Many of the algorithms and numerical methods have substantial impact on the accuracy and speed of the resulting simulations. Jacobian matrices play...
Reducing Non-Linear Systems with Filters
When viewed from the user’s perspective, simulation models should always run faster than they currently do. There is no model on the planet that runs too fast! Non-linear systems of equations (especially ones with large numbers of equations) often present one of the biggest drags on model speed. Such...
Using inline integration and fixed step solvers to speed up offline simulations
Solver selection can have a large influence on the performance speed of your simulation. Inline integration can be deployed to improve the speed of simulations using fixed step solvers. Variable Step vs. Fixed Step; pick your solver! Dymola supports a wide variety of time integration solvers for use in...
Decouple blocks and model parallelisation
As simulation models become ever more complex, simulation time increases as a result. Initially, this is not a huge issue (unless the simulation is to be run in real-time, but that is a separate case), until the time it takes to simulate a model is inconveniently long. Added model...
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