On M1 I would expect even better results due to the high memory bandwidth. If I can do it (physicists not natively a programmer) surely the mathworks dev team can! Having implemented now some complex models both in Cuda and on Metal I can say the syntax is very much alike and also a lot of rules of thumb for Cuda hold for Metal also. That should really not be more then a weeks work for an apple developer developer. What I would suggest for the Apple silicon implementation team is to just implement the same kind of interface to Metal as exists for Cuda, For users to be able to run their own Metal code in a GPU kernel object and separate gpu variable holders. Then just follow the basic procedure to run a metal core. In a nutshell: an adjusted make file to include the metal framework to be able to use the mex compile command and in the code simply transfer variable to Metal textures\databuffer and then follow the apple way to run code on this data using an objective C++. Enter echo username to get the computer login name. Enter vol c: and then press Enter on keyboard to get the Volume Serial Number. SLS also maintains an online listing of software licenses managed centrally at the University of Florida. MATLAB beta on Native Apple Silicon available now Ever since the M1 release, MATLAB users have been asking the question When is a native Apple Silicon version going to be available. You can accomplish this by opening the Windows Start Menu, typing in 'Command Prompt' and opening the first result. Software Licensing Services (SLS) provides software licensing, distribution and management services for departments at the University of Florida. For evaluation, I made an interface to Metal on an intel Mac to see if the GPU would help me for a certain algorithm. MathWorks made use of this and MATLAB has been supported on Apple Silicon Macs via Rosetta 2 since R2020b Update 3.
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