{"id":15317,"date":"2023-10-05T16:57:08","date_gmt":"2023-10-05T20:57:08","guid":{"rendered":"https:\/\/blogs.mathworks.com\/simulink\/?p=15317"},"modified":"2023-10-05T16:57:08","modified_gmt":"2023-10-05T20:57:08","slug":"getting-the-most-out-of-rapid-accelerator-mode-version-r2023b","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/simulink\/2023\/10\/05\/getting-the-most-out-of-rapid-accelerator-mode-version-r2023b\/","title":{"rendered":"Getting the most out of Rapid Accelerator mode – Version R2023b"},"content":{"rendered":"
Earlier this week, a user came to me with a question related to a blog post I wrote a long time ago: <\/span>Getting the most out of Rapid Accelerator mode<\/span><\/a>. This made me realize that since then, we have made significant usability improvements to this workflow. This inspired me to rewrite this blog post using the latest recommended syntax as of MATLAB R2023b.<\/span><\/div>

Rapid Accelerator<\/span><\/h2>
As explained<\/span> <\/span>here<\/span><\/a>, the Rapid Accelerator simulation mode can speed up simulation by generating an executable for your model. The speedup can vary between models and for various reasons. Personally, I have seen some models run more than 10 times faster in Rapid Accelerator mode.<\/span><\/div>
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RapidAcceleratorUpToDateCheck = off<\/span><\/h2>
When you click the play button in a model or use the<\/span> <\/span>sim<\/span><\/a> <\/span>command, Simulink checks if your model has changed or not since the last simulation. If the model has not changed structurally, the Rapid Accelerator executable is not re-generated. Obviously, verifying if the model has changed requires some work and can take a non-negligible amount of time for large models.<\/span><\/div>
To help with that, Rapid Accelerator has an option to skip this check and directly use the already existing executable, if one already exists. <\/span><\/div>
Let's see how this can be done using a simple demo like<\/span> <\/span>sldemo_bounce<\/span><\/a>. For this example, we will vary the coefficient of restitution, specified by variable <\/span>k<\/span> used in a Gain block.<\/span><\/div>
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Let's define a vector of coefficients we want to simulate for:<\/span><\/div>
k_values = [-0.9:0.1:-0.1];<\/span><\/span><\/div><\/div><\/div>
Then we create a vector of <\/span>Simulink.SimulationInput<\/span><\/a> objects that will tell Simulink to:<\/span><\/div>