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calcoloscientifico:userguide:alphafold

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calcoloscientifico:userguide:alphafold [30/01/2025 11:50] fabio.spatarocalcoloscientifico:userguide:alphafold [06/02/2025 19:46] (versione attuale) fabio.spataro
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 mkdir -p demo/af_input mkdir -p demo/af_input
 cp -p /hpc/share/containers/apptainer/alphafold/3/af_input/fold_input.json demo/af_input cp -p /hpc/share/containers/apptainer/alphafold/3/af_input/fold_input.json demo/af_input
-cp -p /hpc/share/containers/apptainer/alphafold/3.0.1/slurm-alphafold.sh demo+cp -p /hpc/share/containers/apptainer/alphafold/3.0.1/slurm-alphafold-gpu-a100_40g.sh demo
 cd demo cd demo
-sbatch slurm-alphafold.sh+sbatch slurm-alphafold-gpu-a100_40g.sh
 </code> </code>
  
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 </code> </code>
  
-Script ''slurm-alphafold.sh'' to run ''alphafold'' on 1 node with 1 GPU (8 tasks per node):+Script ''slurm-alphafold-gpu-a100_40g.sh'' to run ''alphafold'' on 1 node with 1 A100 (40 GB) GPU (8 tasks per node):
  
-<code bash slurm-alphafold.sh>+<code bash slurm-alphafold-gpu-a100_40g.sh>
 #!/bin/bash --login #!/bin/bash --login
 #SBATCH --job-name=alphafold #SBATCH --job-name=alphafold
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 The processing result will be saved in the ''af output'' folder. The processing result will be saved in the ''af output'' folder.
 +
 +Scripts for specific NVIDIA GPU models to run ''alphafold'' on 1 node with 1 GPU (8 tasks per node):
 +
 +^ GPU  ^ Path  ^
 +| NVIDIA [[https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md#nvidia-p100|P100 (12 GB)]]  | ''/hpc/share/containers/apptainer/alphafold/3.0.1/slurm-alphafold-gpu-p100.sh''  |
 +| NVIDIA [[https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md#nvidia-v100|V100 (32 GB)]]  | ''/hpc/share/containers/apptainer/alphafold/3.0.1/slurm-alphafold-gpu_guest-v100_hylab.sh''  |
 +| NVIDIA [[https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md#nvidia-a100-40-gb|A100 (40 GB)]]  | ''/hpc/share/containers/apptainer/alphafold/3.0.1/slurm-alphafold-gpu-a100_40g.sh''  |
 +| NVIDIA [[https://github.com/google-deepmind/alphafold3/blob/main/docs/performance.md#accelerator-hardware-requirements|A100 (80 GB)]]  | ''/hpc/share/containers/apptainer/alphafold/3.0.1/slurm-alphafold-gpu-a100_80g.sh''  |
  
 === Documentation ===  === Documentation === 
calcoloscientifico/userguide/alphafold.1738234234.txt.gz · Ultima modifica: 30/01/2025 11:50 da fabio.spataro

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