Running a Simulation
Once you have a fully described model, it’s time to create and execute a simulation.
In order to execute a model a
CUDASimulation must be created by passing it your completed
CUDASimulation then creates it’s own copy of the
ModelDescription, so further changes will not affect the simulation.
The simulation can then be executed by calling
// Fully declare a model flamegpu::ModelDescription model("example model"); ... // Create a simulation object from the model flamegpu::CUDASimulation simulation(model); // Configure the simulation ... // Run the simulation simulation.simulate();
# Fully declare a model model = pyflamegpu.ModelDescription("example model") ... # Create a simulation object from the model simulation = pyflamegpu.CUDASimulation(model) # Configure the Simulation ... # Run the simulation simulation.simulate()
This is the most simple case, however normally a simulation needs to be configured, to select simulation option, override the initial state and specify data to be collected.
This chapter has been broken up into several sections detailing these features:
Additionally, a visualisation can be configured, however that is covered in it’s own chapter.