... | ... | @@ -12,6 +12,21 @@ Fahad Khalid (@khalid1): Created the [Getting started with ML/DL on Supercompute |
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tbd: Jens Henrik Goebbert @goebbert1
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You can register with either a JSC user account: https://judoor.fz-juelich.de/register , or with any University/Research center account: https://hdf-cloud.fz-juelich.de/
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To access the JSC JupyterLab, the link is: http://jupyter-jsc.fz-juelich.de
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It is important to know what and where you want to run. For ML and DL workloads, it is advisable to use the GPU nodes of the supercomputers. When choosing the parameters for a run, it is important to use the "gpus" or "develgpus" partitions. If you are not using parallel environments (such as Horovod), choose only one node of the Develgpus partition: You will get an allocation faster, and other people can also work on it.
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Always choose the maximum number of GPUs allowed.
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Given that this is a shared environment, it might take a while until you get a reservation. Therefore, there is a new option to receive an email when your reservation is granted.
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## Neuro4HPC
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[Deep Learning in neuroscience using HPC systems (work in progress)](Neuro4HPC)
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