Middlebury

High Performance Computing (HPC)/Training

Overview of the Ada Cluster

How is a cluster different from my laptop/desktop?

Architecture

Logging in

ssh username@ada
  • "username" is your Middlebury username. If your username on the computer you're logging in from is also your Midd username (e.g. if you're using a college owned computer), then you can just use the command ("ssh ada").
  • You will be prompted for your Middlebury password--after you enter your password, you will now have a linux command prompt for the head node "ada".
  • You are now in your home directory on ada. From here you can access the filesystem in your home directory, using standard linux commands. For example, we can make a directory:
mkdir test_job
  • While it's not necessary, for convenience you can consider setting up public key authentication from your laptop or desktop; this will allow you to login securely without entering your password.

Submitting jobs vis the Slurm scheduler

Basic slurm script

  • We have the basic slurm script shown below in the text file "slurm_serial.sh":
#!/usr/bin/env bash
# slurm template for serial jobs

# Set SLURM options
#SBATCH --job-name=serial_test                  # Job name
#SBATCH --output=serial_test-%j.out             # Standard output and error log
#SBATCH --mail-user=username@middlebury.edu     # Where to send mail	
#SBATCH --mail-type=NONE                        # Mail events (NONE, BEGIN, END, FAIL, ALL)
#SBATCH --mem=100mb                             # Job memory request
#SBATCH --partition=standard                    # Partition (queue) 
#SBATCH --time=00:05:00                         # Time limit hrs:min:sec

# print SLURM envirionment variables
echo "Job ID: ${SLURM_JOB_ID}"
echo "Node: ${SLURMD_NODENAME}"
echo "Starting: "`date +"%D %T"`

# Your calculations here
printf "\nHello world from ${SLURMD_NODENAME}!\n\n"

# End of job info
echo "Ending:   "`date +"%D %T"`

Submitting jobs

  • Jobs are submitted to the slurm scheduler via the "sbatch" command:
sbatch slurm_serial.sh

Monitoring jobs

  • You can monitor the status of jobs in the queue via the "squeue" command:
squeue
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