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https://www.crc.rice.edu/app/rice_signup.php

Slurm configuration

To obtain information about the number of nodes, number of CPUS, memory and number of GPUs in each cluster use the following command:

sinfo -o "%N %c %m %f %G " -p your_partition

NOTS (commons)

This partition includes 16 volta GPU nodes, each equipped with 80 CPUs and 182GB of RAM. In addition, each node includes 2 NVIDIA GPUs.

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#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
 
ml gomkl/2021a OpenMM/7.7.0-CUDA-11.4.2

ARIES

This partition includes 19 GPU nodes, each equipped with an AMD EPYC chip featuring 48 CPUs and 512GB of RAM. In addition, each node includes 8 AMD MI50 GPUs with 32 GB of memory each. 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.

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You should be able to connect to the compute servers without being prompted for a password.

Slurm Configuration

To obtain information about the number of nodes, number of CPUS, memory and number of GPUs in each cluster use the following command:

sinfo -o "%N %c %m %f %G " -p partition

More Information

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