MATLAB: Do I receive a memory allocation error when I try to run the Simulink model

allocationerrormemorymodelrunningsimulinksteptime

I receive a memory allocation error when I try to run my Simulink model.

Best Answer

Memory allocation errors are due to your Operating System not having the resources to allocate any more memory for the simulation.

Below are a couple of things that you can do to avoid the memory allocation errors in Simulink:

1. Turn off the Workspace I/O (to do that, in the Simulink model go to Simulation=>Parameters=> Data Import/Export and uncheck the time and output boxes).

2. Increase the step size of the simulation

3. Reduce the length of the simulation

4. Increase the virtual memory of your computer (right click on the My Computer Icon, go to Properties and choose Performance).

5. Memory requirements of running a model depends on many factors such as the size of model, the signal size, memory usage by the user defined S-functions, etc.

Depending on the requirements of your simulation, you might consider increasing your physical RAM memory or switching to 64-bit machine since they support considerable large amount of memory as compared to 32-bit machines.

For other options on improving simulation performances you may refer to the Simulink User's Guide. If you do not have the manual you can use the online version at:

https://www.mathworks.com/help/pdf_doc/simulink/simulink_ug.pdf

You may also refer the Technical Note on Memory Management in Simulink, at the link below:

http://www.mathworks.com/support/tech-notes/1800/1806.html

Related Solutions

MATLAB: Can I access more than 2GB of memory when running a 32-bit MATLAB 7.5 (2007b) on a Mac

In theory, 32-bit applications can address up to 4GB of virtual memory.

However, a number of things affect the actual memory accessibility:

1. The Operating System reserves memory for itself, reducing the amount of memory its applications can use.

2. Other applications running at the same time can eat up memory as well.

3. MATLAB reserves memory for itself. Even when there is no code running and there are no variables in the workspace, MATLAB is still using memory.

4. The memory available to MATLAB may be fragmented when starting additional tools or toolboxes, or loading MATLAB functions into memory. This limits the size of the largest contiguous block of memory. Since MATLAB matrices need to be stored in contiguous blocks, Out of Memory errors can occur while trying to create a matrix larger than the size of the largest contiguous block, even if that memory exists in several fragmented blocks.

There are tools for memory management for Macs:

The TOP command allows you to view the RPRVT (amount of memory in use) and VSIZE(amount of virtual memory paged so far) for the applications with top CPU usage: