Simulink® Accelerator™ speeds up the execution of your model, by creating and compiling C code. This C code takes the place of the interpretive code that Simulink uses when in Normal mode (that is, when Simulink® is not in Accelerator mode). Simulink Accelerator generates the C code from the Simulink model and invokes the MATLAB® mex function to compile and dynamically link the generated code to Simulink. This code generation and compilation process happens the first time you accelerate the model and any time the model changes are significant enough to require re-generation (for example, the addition of a block).

Sometimes Simulink® regenerates the simulation target for a model at the beginning of a simulation in Accelerator Mode but it is not always clear why regeneration happens. This example shows how to use Simulink MATLAB® commands to determine why Simulink regenerates code for Accelerator Mode simulations.

Run multiple simulations of a Monte Carlo study in parallel by using Parallel Computing Toolbox™. Parallel execution leverages the multiple cores of your host machine to run many simulations more quickly. These simulations could also be run in parallel on computer clusters using the MATLAB Parallel Server™. This example will work even if the Parallel Computing Toolbox™ or the MATLAB Parallel Server™ is not available, but the simulations will run in serial.

Run multiple simulations of a Monte Carlo study in parallel by using Parallel Computing Toolbox™. Parallel execution leverages the multiple cores of your host machine to run many simulations more quickly. These simulations could also be run in parallel on computer clusters using the MATLAB Parallel Server™. This example will work even if the Parallel Computing Toolbox™ or the MATLAB Parallel Server™ is not available, but the simulations will run in serial.

The use of Rapid Accelerator in applications that require running parallel simulations for a range of input and parameter values.