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outlinetrue

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Please see About SCU for more information about our HPC infrastructure.

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Slurm partitions 

Slum partitions are cluster specific. All users will have access to the general partitions

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BRB: scu-cpu and scu-gpu

BRB CLUSTER

CAYUGA CLUSTER

SCU cluster partitions:

  • scu-cpu: 22 cpu nodes, 7-day runtime limit

  • scu-gpu: 4 gpu nodes, 2-day runtime limit

SCU cluster partitions:

  • scu-cpu: 19 cpu nodes, 7-day runtime limit

  • scu-gpu: 3 gpu nodes, 7-day runtime limit

CryoEM partitions:

  • cryo-cpu: 14 CPU-only nodes, 7-day runtime limit

  • cryo-gpu: 6 GPU nodes, 2-day runtime limit

  • cryo-gpu-v100: 2 GPU, 2-day runtime limit

  • cryo-gpu-p100: 3 GPU, 2-day runtime limit

PI-specific cluster partitions:

  • accardi_gpu: 4 GPU nodes, 2-day runtime lim

  • accardi_cpu: 1 CPU node, 7-day runtime limit

  • boudker_gpu: 2 GPU nodes,

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  •  infinite

  • boudker_gpu-p100: 3 GPU nodes,

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  •  infinite

  • boudker_cpu: 2 CPU nodes,

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  •  infinite

  • sackler_ cpu: 1 CPU node, 7-day runtime limit

  • sackler_ gpu: 1 GPU node, 7-day runtime limit

  • hwlab-rocky_gpu: 12 GPU nodes, 7-day runtime limit

  • eliezer-gpu: 1 GPU node, 7-day runtime limit

Other specific cluster partitions:

  • scu-res: 1 GPU, 7-day runtime limit

Of course, the above will be updated as needed; regardless, to see an up-to-date description of all available partitions, using the command sinfo scu-login02 on the login node. For a description of all the nodes' # CPU cores, memory (in Mb), runtime limits, and partition, use this command:

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Code Block
srun -n1 --pty --partition=scu-cpu --mem=8G bash -i

To request specific numbers of GPUs, you should add your request to your srun/sbatch:  

Below is an example of requesting 1 GPU - can request up to 4 GPUs on a single node

Code Block
--gres=gpu:1

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A simple job submission example

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