When you configure parallel kernels for the first time, please select SLURM from the Cluster Engine pull-down menu Under the Cluster Integration tab, expand the Advanced Settings arrow.Go in Cluster Integration and first enable cluster integration it if it is not enabled.Under Local Kernels, disable Local Kernels if it is enabled.From there, go to Evaluate/Parallel Kernel Configuration and change the following settings: Once Mathematica is started, open a new document in the Mathematica window and go to Edit > Preferences. If you run Wolfram script you need to run a Front End session to set your parallel environment before executing your script. You have to do this within a Front End session. In order to run parallel Mathematica jobs on our cluster, you will need to configure your Mathematica environment. One of the ways to check this would be the Mathematica command Length]. We recommend checking the final number of parallel kernels you’ve gotten after the launching command has completed no matter if you run a Front End Mathematica session or execute Wolfram script.
Most of the time you will not get launched with the same number of kernels as you requested. To reduce waiting time, our scripts try to launch as many kernels as possible at the moment the user asks for them.
When a user asks for a specific number of kernels, the wait time to get them might differ dramatically depending on requested computing resources as well as on how busy the HPC cluster is at that moment. These scripts are designed in a way to allow users to access up to 450 parallel kernels. Mathematica installed on Yale HPC clusters includes our proprietary scripts to run parallel jobs in SLURM environments. Request Help or Access to Wolfram Alpha Pro
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