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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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Code Block
/packages/racs/bin/slurm-show-features
Info

Note: All features are not available in every partition. You may need to submit your job to the preempt partition in order to have access to the desired features, i.e. --constraint=h100

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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Code Block
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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Generally, issues would be due to differences with the new shared libraries in RHEL8. If you compile software in a way that specifically assumes one architecture (i.e. Intel IceLake) it might not run on all nodes.

LMOD

We’ll provide all software centrally available, including conda environments, through LMOD.

Code Block
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.

Info

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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Use your DuckID to log in.

Info

Buttons in the drop down menu within the Talapas desktop may point to previous versions of software.

Ensure you load the most current Talapas2 compatible version by opening a Mate Terminal, then enter module load <software/version>

Globus

Recently deployed Talapas2 Globus endpoint, University of Oregon - Talapas2 Overview | Globus

Technical Differences

These probably won’t affect you, but they are visible differences that you might notice.

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