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...
Tag Archive for: simulation performance
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...
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...
Dymola provides a means to measure where the CPU time is being spent in the model code execution. This feature is known as profiling. Profiling is described in Section 5.7.5 of the Dymola User Manual Volume 1. This blog article supplies further information. Profiling is implemented by inserting timers...
Models of physical systems with state logic and time based discontinuities can often produce events in Dymola. These events can have a significant impact on your simulation performance, so it is important that we understand where these events are coming from in the model. In this blog post I’m...
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