How can I use from all of my RAM and CPU cores when I run M file?

Dear Friends,

I headed from other persons that the M file coding toolbox in MATLAB use only 1 core of CPU and 1GB of RAM and because of this run time of big M file is very slowly. Now I want to ask you is this true or not? and if is not true how can I use all of my PC`s RAM and CPU cores during running M file in MATLAB?

Best regards,

Answer 1

[Prateekshya]

Hello @A.R.G,

MATLAB traditionally executes code in a single thread, which means it uses only one core of the CPU by default. However, this does not mean it is limited to 1 GB of RAM. MATLAB can use as much RAM as is available on your system, limited only by your system's architecture (32-bit vs. 64-bit) and physical memory.

To leverage multiple CPU cores and more effectively utilize your system's resources, you can use the following strategies:

• Parallel Computing Toolbox: You can use parfor loops, parfeval, and other parallel constructs to execute tasks concurrently. Here is a sample code for the same:

parfor i = 1:N
    % Your computation here
end

Please follow the below links for more information on the same:

https://www.mathworks.com/help/matlab/ref/parfor.html

https://www.mathworks.com/help/matlab/ref/parfeval.html

• Vectorization: Ensure your code is vectorized as much as possible. Vectorized operations are typically faster and can utilize MATLAB's optimized libraries.
• Built-in Multithreading: Some MATLAB functions are already optimized to use multithreading internally (e.g., fft, svd, sort). Make sure to use these functions for operations that support them.
• Code Profiling: Use the MATLAB Profiler (profile on, profile viewer) to identify bottlenecks in your code and optimize those sections. Please follow this link to know more about it:

https://www.mathworks.com/help/matlab/ref/profile.html

I hope this helps!