The Teton HPC cluster is the successor of Mount Moran. Teton contains several new compute nodes. All Mount Moran nodes have been reprovisioned within the Teton HPC Cluster. The system is available by SSH using hostname teton.arcc.uwyo.edu or teton.uwyo.edu. We ask that everybody who uses ARCC resources cite the resources accordingly. See Citing Teton. Newcomers to research computing should also consider reading the Research Computing Quick Reference.
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Contents
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ssh USERNAME@teton.arcc.uwyo.edu
ssh -l USERNAME teton.arcc.uwyo.edu
ssh -Y -l USERNAME teton.arcc.uwyo.edu # For secure forwarding of X11 displays
ssh -X -l USERNAME teton.arcc.uwyo.edu # For forwarding of X11 displays
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OpenSSH Configuration File (BSD,Linux,MacOS)
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Host teton
Hostname teton.arcc.uwyo.edu
User USERNAME
controlmaster auto
controlpath ~/.ss/ssh-%r@%h:%p
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WARNING: While ARCC allows SSH multiplexing, other research computing sites may not. Do not assume this will always work on systems not administered by ARCC.
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Speciality Nodes: These are speciality specialty nodes that are available to special users and are requested via a partition request, i.e. "dgx", see table #2 above. Use the following partition request to access these nodes.
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The "gres" flag attached to each type of node can be found in the second-to-last column of Table 1. For example, the flag -gres=gpu:titanx:1
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must must be used to request one (1) GTX Titan X device that can only be satisfied by the nodes with the GTX Titan X in them.
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echo $CUDA_VISIBLE_DEVICES
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An empty output string implies NO access to the node's GPU devices.
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Node sharing can be accessed by requesting less than the full number of GPUs, CPUs or memory. Note that node sharing can also be done on the basis of the number of CPU's and/or memory, or all three. By default, each job gets 3.5 GB of memory per core requested (the lowest common denominator among our cluster nodes), therefore to request a different amount than the default amount of memory, you must use the "-mem
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" flag. To request exclusive use of the node, use "-mem=0
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".
Example #1
An example script that would request two Teton nodes with 2xK20m GPU's, including all cores and all memory, running one GPU per MPI task, would look like this:
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Another example, using the job script below will get four GPUs, four CPU cores, and 8GB of memory. The remaining GPUs, CPUs, and memory will then be accessible for to other jobs.
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#SBATCH --ntasks=4 #SBATCH --nodes=1 #SBATCH --mem=8 #SBATCH --partition=teton #SBATCH --account=<account> #SBATCH --gres=gpu:k80:4 #SBATCH --time=00:30:00 ... Other job prep srun myprogram.exe |
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This will allocate the resources to the job , but keeps the prompt on the login node. You can then use "srun" or "mpirun" commands to launch the calculation on the allocated compute node resources.
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To invoke OpenACC, use the "-acc
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" flag. More information on OpenACC can be obtained at http://www.openacc.org.
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