Content Comparison

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General SciComp Partition for all users on BRB Cluster

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

• scu-gpu: 6 gpu nodes, 2-day runtime limit

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--gres=gpu:1

SRUN: Interactive Session

Example:

srun --gres=gpu:1 --partition=partition_name --time=01:00:00 --mem=8G --cpus-per-task=4 --pty bash

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• --gres=gpu:1: Allocates 1 GPU to your job.

• --partition=partition_name: Specifies the partition to run the job in. Replace partition_name with the appropriate partition, like scu-gpu.

• --time=01:00:00: Requests 1 hour of runtime. Adjust the time as needed.

• --mem=8G: Requests 8 GB of memory.

• --cpus-per-task=4: Requests 4 CPU cores.

• --pty bash: Launches an interactive bash shell after resources are allocated.

SBATCH: submission script

#!/bin/bash
#SBATCH --job-name=gpu_job        # Job name
#SBATCH --output=output_file.txt  # Output file
#SBATCH --partition=gpu_partition # Partition to run the job (e.g., scu-gpu)
#SBATCH --gres=gpu:1              # Request 1 GPU
#SBATCH --time=01:00:00           # Max runtime (1 hour)
#SBATCH --mem=8G                  # Memory requested
#SBATCH --cpus-per-task=4         # Number of CPU cores per task

# Your commands here
srun python my_script.py