Matlab on M1 MacBook

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JINHWAN KIM
JINHWAN KIM el 27 de Mzo. de 2021
Comentada: Steven Lord el 20 de Abr. de 2022
I have installed Matlab 2020b on my macbook pro with M1 chip.
Matlab is launched well, but when I click anything, it responses very very slowly with the message "processing" in the left bottom for about 5 minutes.
After that, it works well.
How can I fix it?
  2 comentarios
Tamim Jim
Tamim Jim el 12 de Ag. de 2021
can u please provide me with the installation link
T Bui
T Bui el 8 de Oct. de 2021
Get a latest version, works great for me

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Respuestas (3)

Markus Adamek
Markus Adamek el 26 de Ag. de 2021
I recently had issues where window snapping apps such as Rectangle, Magnet etc. will slow down Matlab GUIs to the point you described.
If you are using any of them, turn them off and try matlab again.
  3 comentarios
Matthew Attwell
Matthew Attwell el 4 de Nov. de 2021
You saved me, thankyou so much, as soon as i quited magnet it worked perfectly.
Frederik Kuper
Frederik Kuper el 20 de Abr. de 2022
Thank you so much, Magnet caused the issue for me as well 👍

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JINHWAN KIM
JINHWAN KIM el 3 de Abr. de 2021
I've fixed this problem.
following https://kr.mathworks.com/matlabcentral/answers/262442-java-heap-space-out-of-memory-problem

Aakash Mehta
Aakash Mehta el 30 de Mzo. de 2021
MATLAB R2020b Update 3 and later are supported on Apple silicon Macs through the Rosetta 2 translation environment. You might be using the earlier releases/update of MATLAB that’s why it is slow.
Refer to the following MATLAB Answers for more details.
  4 comentarios
Steven Lord
Steven Lord el 17 de Jun. de 2021
As stated in the MathWorks Support Team answer to the question to which Aakash Mehta linked: "A version of MATLAB which runs natively on Apple silicon is in development. This answer will be updated with more information as development progresses."
We do not generally discuss the timeline for when features will be delivered.
Steven Lord
Steven Lord el 20 de Abr. de 2022
FYI there is now a beta version of release R2022a running natively on Apple Silicon. The Answers post to which Aakash Mehta linked has been updated with more information.

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