Is there a list of MATLAB Runtime dependencies?
25 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Nicholas Haas
le 23 Sep 2017
Modifié(e) : Nicholas Haas
le 24 Sep 2017
Greetings,
I was deploying the MATLAB Runtime (aka MCR) to a headless Redhat Enterprise Linux (RHEL) 7.4 environment when I noticed that I was missing several dependencies.
I installed MCR version R2017b (9.3) with this command (which succeeded, see install.txt):
./install -mode silent -agreeToLicense yes
I then set / verified the LD_LIBRARY_PATH environment variable:
$ echo $LD_LIBRARY_PATH
:/usr/local/MATLAB/MATLAB_Runtime/v93/runtime/glnxa64:/usr/local/MATLAB/MATLAB_Runtime/v93/bin/glnxa64:/usr/local/MATLAB/MATLAB_Runtime/v93/sys/os/glnxa64:
Finally, I tested the Shared Object files included in the installation to verify they have available all the libraries they need:
find /usr/local/MATLAB -type f -name '*.so*' -exec ldd {} \; | grep 'not found' | sort | uniq
This resulted in the libraries listed in the attached notFound.txt. While I can easily determine which packages provide these libraries with Yellowdog Updater, Modified (yum) and install them, was wondering (especially for future deployments of future versions) if there exists a list of packages for supported Linux distributions that need to be deployed alongside the MCR. I checked the MCR Documentation and didn't see a list of said libraries.
Thanks
0 commentaires
Réponse acceptée
Mikhail
le 24 Sep 2017
Unfortunately, there seems to be no such list of libraries required to run MCR (not to mention MATLAB itself). In fact, i've seen cases where even "officially supported" Linux distros were lacking libraries required for a particular functionality of MATLAB or Simulink. The list of required libraries also changes from version to version.
You are on the right track of inspecting MCR's libraries by your own.
I would recommend using "readelf -d" to list only direct dependencies of a shared library (unlike ldd listing dependencies recursively). This should be faster and more secure than using ldd.
1 commentaire
Plus de réponses (1)
Image Analyst
le 23 Sep 2017
You can run the dependency report on your code. Or if you have a compiled version of your code, run DependencyWalker (Google it).
1 commentaire
Voir également
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!