MATLAB Answers

Does Matlab perform well on AMD Ryzen?

650 views (last 30 days)
TeichEnterich95
TeichEnterich95 on 20 Mar 2017
Commented: Royi Avital on 24 Jan 2020 at 8:29
Hi,
i want to buy a new CPU for Matlab but I am not sure if the new AMD Ryzen 1800X performs well on matlab. I know that the performance depends on the code you are running, but maybe there are some Ryzen owners out there who could post the results from the "bench" function.
Thanks. :)

  2 Comments

Wes Johnson
Wes Johnson on 4 Apr 2017
I bought a system with the Ryzen 1800 processor (delivered on 3/30/17) for use with Simulink. Although the Ryzen has 8 cores and does well on the PassMark CPU test, it's slower than my i7-4790. A Google search shows that the Ryzen may have issues with the Windows 10 scheduler which limits is multi-threading abilities. I'm hopeful for a software patch...soon.
Mickaël Tits
Mickaël Tits on 22 Aug 2017
Hi, I'm thinking about buying a ryzen 7 too... Any news about a software patch so far ? Thanks!

Sign in to comment.

Accepted Answer

Ned Flanders
Ned Flanders on 19 Nov 2019
Edited: Ned Flanders on 29 Dec 2019 at 20:50
AMD Ryzen/Threadripper CPUs perform excellent using Matlab, if you perform a very simple tweak.
Here is an example of several CPUs based on a matlab performance benchmark script you'll find in the link below.
matlab1.png
You should read it if you want to understand the background. If you just want to apply the tweak, follow these steps: It will take less than a minute.
Solution 1 (Windows - no admin rights needed):
Create a .bat file with the following lines to start Matlab in AVX2 Mode
@echo off
set MKL_DEBUG_CPU_TYPE=5
matlab.exe
This is straight forward. You open Notepad, copy and paste the above three lines and save the file as Matlab-AVX2. Notepad will save the file as Matlab-AVX2.txt. Now replace the extension ".txt" with ".bat".
If you double-click that file, Matlab will start the MKL in AVX2 Mode. If you start it the normal way, it will remain as always.
You can also download the .bat file from my highdrive if you trust me (which you of course should not, as I am a random guy in the Internet). If you delete the startup batch file provided in the download or the one you created yourself, its gone and your computer will be as it has been before.
Solution 2 (Windows - admin rights needed): If you are happy with the results (which you will be :-)), you should make the setting permanent by entering MKL_DEBUG_CPU_TYPE=5 into the System Environment Variables. This has several advantages, one of them being that it applies to all instances of Matlab and not just the one opened using the .bat file.
bcofbtrhvfz31.png?width=981&format=png&auto=webp&s=d486bd5e8f102f33d5207e9a4c0b9767618e304d
You can do this either by editing the Environmental Variables as shown above, or by opening a command prompt (CMD) with admin rights and typing in:
setx /M MKL_DEBUG_CPU_TYPE 5
Doing this will make the change permanent and available to ALL Programs using the MKL on your system until you delete the entry again from the variables.
LINUX: (Thanks to foreignrobot)
Simply type in a terminal:
export MKL_DEBUG_CPU_TYPE=5
and then run matlab from the same terminal.
For benchmarking, you can use this script:
Permanent solution for Linux:
echo 'export MKL_DEBUG_CPU_TYPE=5' >> ~/.profile
will apply the setting profile-wide, so you can launch it either through a terminal or the graphical launcher.

  3 Comments

felicioharley
felicioharley on 6 Jan 2020 at 21:22
Hey Ned, this tweak (using the environment variable solution) will only improve Matlab or other softwares that use MKL (like CST electromagnetic simulation software, Numpy and Tensorflow) can benefit from it too? Thanks for sharing this.
Ned Flanders
Ned Flanders on 6 Jan 2020 at 21:31
Hi fellicio,
setting the environmental variable applies to any software using the MKL.
Royi Avital
Royi Avital on 24 Jan 2020 at 8:29
It is a shame MathWorks, as one of the biggest customers of MKL doesn't ask Intel to stop this discrmination. I hope they will integrate this trick into next MATLAB or start supporting OpenBLAS until it matches and supress Intel MKL.

Sign in to comment.

More Answers (3)

Jan
Jan on 21 Mar 2017
Edited: Jan on 23 Nov 2019
It depends if the used libraries call FMA3 commands. If so, the Ryzen crashes very fast.
The performance will depend on your programs. If writing to the disk is the bottleneck, the processor will not matter. If your code is parallelized, the number of cores rule. If memory is the limitation, buying a cheaper processor can mean, that you install more RAM. Then benchmarks of Matlab have a limited power only. Therefore I do not think that there is a general answer except for: The Ryzen is good!
As usual I mention, that you only have to wait some years to get a processor with the double performance, but writing efficient code can accelerate a program by a factor of 100 easily.

  0 Comments

Sign in to comment.


Robert Lee
Robert Lee on 10 May 2017
Ryzen 1700 owner here, can't bench atm but I can update this later if you want one.
Ryzen is only worth it if you want to do parallel pool stuff (multi threaded), otherwise you may aswell get yourself a top end i3.
If you are wanting to do parallel pool stuff I'd be wary, I've had a lot of crashes doing parallel pool simulations with Ryzen that aren't occurring with intel CPUs - can't say with any certainty that Ryzen is to blame though.

  2 Comments

Mickaël Tits
Mickaël Tits on 22 Aug 2017
Hello, I am thinking about buying a Ryzen 7 (1700, 1700x or 1800x). I wonder if you have some news about its use with Matlab ? Does it still crashes ? Did you do a benchmark ?
Georgi rozenman
Georgi rozenman on 2 Jul 2018
All Ryzen 7 Cpus have weak 8 cores. If you'll be using MATLAB with general routines, without parallel pool, you'll be getting a worse performance than a slow core i3 since 1 core of Ryzen 7 is a lot weaker than 1 intel core.
Ryzen 7 performs well only when all 8 cores are used, therefore, it is very bad for MATLAB and any single core software.

Sign in to comment.


Ned Flanders
Ned Flanders on 21 Nov 2019
This here is a pretty good and detailed article!

  0 Comments

Sign in to comment.

Sign in to answer this question.