This page is currently being updated to include examples of submission and configuration commands that can be used on CTBP resources.
It should be noted that this example assumes the use of only one GPU per task and requests an equal amount of memory and CPU resources based on the total resources of each node. The amount of CPU and RAM memory utilized can be increased or decreased based on the user's experience with their system.
NOTS (commons)
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NOTS (ctbp-common)
This partition includes two GPU nodes, each equipped with an AMD EPYC chip featuring 16 CPUs and 512GB of RAM. In addition, each node includes 8 NVIDIA A40 GPUs with 48GB of memory.
#SBATCH --account=ctbp-common #SBATCH --partition=ctbp-common #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --cpus-per-task=2 #SBATCH --mem=64G #SBATCH --gres=gpu:1
NOTS (ctbp-onuchic)
This partition includes one GPU node, each equipped with an AMD EPYC chip featuring 16 CPUs and 512GB of RAM. In addition, each node includes 8 NVIDIA A40 GPUs with 48GB of memory.
#SBATCH --account=ctbp-onuchic #SBATCH --partition=ctbp-onuchic #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --cpus-per-task=2 #SBATCH --mem=64G #SBATCH --gres=gpu:1
ARIES
This partition includes 8 GPUs per node, which must be utilized in parallel. To submit a job to this queue, it is necessary to launch 8 processes in parallel, each with a similar runtime to minimize waiting time. This ensures that all of the GPUs are used efficiently.
#SBATCH --account=commons #SBATCH --partition=commons #SBATCH --nodes=1 #SBATCH --ntasks=1 #SBATCH --export=ALL #SBATCH --gres=gpu:8
PODS
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