Parallel Computing - how to run jobs from clients on servers with the same version.
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
After submitting a batch, I try to retrieve the computed data using
j.fetchOutputs{:}
However, the system throws the following error:
Error using preCJSJob
This job was submitted with version 6.11 of the Parallel Computing Toolbox. However
the current MATLAB Distributed Computing Server is version 6.10. You must run jobs
from clients on servers with the same version.
How exactly do I run "jobs from clients on servers with the same version?"
0 comentarios
Respuestas (1)
Edric Ellis
el 17 de Mayo de 2019
Firstly, you need to ensure that the correct version of MATLAB Distributed Computing Server (MDCS) is installed on your cluster. Then, you need to ensure that the ClusterMatlabRoot property is set up correctly to launch workers from the location of the matching version MDCS installation. So, you might need to do something like this
c = parcluster('myClusterProfile');
% Work out where R2017b has been installed on your cluster nodes, and then:
c.ClusterMatlabRoot = '/opt/MATLAB/R2017b';
% If that works, save the changes for later:
c.saveProfile();
If you do not have an R2017b installation available on the cluster, then you'll need to use an R2017a client MATLAB & Parallel Computing Toolbox.
0 comentarios
Ver también
Categorías
Más información sobre Introduction to Installation and Licensing en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!