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Each node in the cluster has at a minimum: processor make, generation, and model Slurm feature tags. For example,
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/packages/racs/bin/slurm-show-features |
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Note: All features are not available in every partition. You may need to submit your job to the |
Processor architectures
Talapas2 is comprised of nodes from multiple separate purchases over the course of several years. Therefore, it has several generations of processors from multiple (Intel and AMD) vendors.
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compute: AMD Milan and Intel Broadwell gpu: AMD Milan interactive: Intel Broadwell and IceLake interactivegpu: AMD Milan memory: Intel IceLake and Intel Broadwell login: Intel Broadwell preempt: All |
Storage
/home
/home/<user>: store your data here. Your home directory now has 250GB quota.
/projects
/projects/<pirg>/<user>: store your PIRG specific work files here.
/projects/<pirg>/shared: store PIRG collaboration data here.
See the Directory Structure document.
Software
Some existing software will run fine on the new cluster.
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module load software/version |
Conda
Talapas2 uses miniconda-t2 miniconda3 and new conda environments will be built with this base environment. If you have personal conda environments, you might need/want to recreate them using miniconda-t2 miniconda3. Note that using existing Conda environments on either cluster should work fine - it’s making changes that might cause problems.
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Note: miniconda-t2 is being deprecated in favor of miniconda3 which include the libmamba solver |
To use the libmamba solver include --solver=libmamba in your conda create or conda env create command line.
Spack
Talapas2 uses spack-rhel8 and software provided centrally by this platform will built using this instance with gcc 13.1.0 on Intel Broadwell nodes.
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