Copy and customize the following scripts to specify and refine your job's requirements.

Customizable Job Scripts

  • specify the maximum run time with the -t option.
  • specify number of nodes needed with the -N option
  • specify tasks per node with the -n option
  • specify the project to be charged with the -A option.

Consult Table 6 for a listing of common Slurm #SBATCH options.

Serial Jobs

Serial codes should request 1 node (#SBATCH -N 1) with 1 task (#SBATCH -n 1).

#!/bin/bash
#----------------------------------------------------
# Sample Slurm job script
#   for TACC Frontera CLX nodes
#
#   *** Serial Job in Normal Queue ***
# 
# Last revised: 20 May 2019
#
# Notes:
#
#  -- Copy/edit this script as desired.  Launch by executing
#     "sbatch clx.serial.slurm" on a Frontera login node.
#
#  -- Serial codes run on a single node (upper case N = 1).
#       A serial code ignores the value of lower case n,
#       but slurm needs a plausible value to schedule the job.
#
#  -- Use TACC's launcher utility to run multiple serial 
#       executables at the same time, execute "module load launcher" 
#       followed by "module help launcher".
#----------------------------------------------------

#SBATCH -J myjob           # Job name
#SBATCH -o myjob.o%j       # Name of stdout output file
#SBATCH -e myjob.e%j       # Name of stderr error file
#SBATCH -p normal          # Queue (partition) name
#SBATCH -N 1               # Total # of nodes (must be 1 for serial)
#SBATCH -n 1               # Total # of mpi tasks (should be 1 for serial)
#SBATCH -t 01:30:00        # Run time (hh:mm:ss)
#SBATCH --mail-type=all    # Send email at begin and end of job
#SBATCH -A myproject       # Project/Allocation name (req'd if you have more than 1)
#SBATCH --mail-user=username@tacc.utexas.edu

# Any other commands must follow all #SBATCH directives...
module list
pwd
date

# Launch serial code...
./mycode.exe         # Do not use ibrun or any other MPI launcher

MPI Jobs

This script requests 4 nodes (#SBATCH -N 4) and 32 tasks (#SBATCH -n 32), for 8 MPI rasks per node.

#!/bin/bash
#----------------------------------------------------
# Sample Slurm job script
#   for TACC Frontera CLX nodes
#
#   *** MPI Job in Normal Queue ***
# 
# Last revised: 20 May 2019
#
# Notes:
#
#   -- Launch this script by executing
#      "sbatch clx.mpi.slurm" on a Frontera login node.
#
#   -- Use ibrun to launch MPI codes on TACC systems.
#      Do NOT use mpirun or mpiexec.
#
#   -- Max recommended MPI ranks per CLX node: 56
#      (start small, increase gradually).
#
#   -- If you're running out of memory, try running
#      fewer tasks per node to give each task more memory.
#
#----------------------------------------------------

#SBATCH -J myjob           # Job name
#SBATCH -o myjob.o%j       # Name of stdout output file
#SBATCH -e myjob.e%j       # Name of stderr error file
#SBATCH -p normal          # Queue (partition) name
#SBATCH -N 4               # Total # of nodes 
#SBATCH -n 32              # Total # of mpi tasks
#SBATCH -t 01:30:00        # Run time (hh:mm:ss)
#SBATCH --mail-type=all    # Send email at begin and end of job
#SBATCH -A myproject       # Project/Allocation name (req'd if you have more than 1)
#SBATCH --mail-user=username@tacc.utexas.edu

# Any other commands must follow all #SBATCH directives...
module list
pwd
date

# Launch MPI code... 
ibrun ./mycode.exe         # Use ibrun instead of mpirun or mpiexec

OpenMP Jobs

Hyperthreading is not currently enabled on Frontera

#!/bin/bash
#----------------------------------------------------
# Sample Slurm job script
#   for TACC Frontera CLX nodes
#
#   *** OpenMP Job in Normal Queue ***
# 
# Last revised: 20 May 2019
#
# Notes:
#
#   -- Launch this script by executing
#   -- Copy/edit this script as desired.  Launch by executing
#      "sbatch clx.openmp.slurm" on a Frontera login node.
#
#   -- OpenMP codes run on a single node (upper case N = 1).
#        OpenMP ignores the value of lower case n,
#        but slurm needs a plausible value to schedule the job.
#
#   -- Default value of OMP_NUM_THREADS is 1; be sure to change it!
#
#   -- Increase thread count gradually while looking for optimal setting.
#        If there is sufficient memory available, the optimal setting
#        is often 56 (1 thread per core) but may be higher.

#----------------------------------------------------

#SBATCH -J myjob           # Job name
#SBATCH -o myjob.o%j       # Name of stdout output file
#SBATCH -e myjob.e%j       # Name of stderr error file
#SBATCH -p normal          # Queue (partition) name
#SBATCH -N 1               # Total # of nodes (must be 1 for OpenMP)
#SBATCH -n 1               # Total # of mpi tasks (should be 1 for OpenMP)
#SBATCH -t 01:30:00        # Run time (hh:mm:ss)
#SBATCH --mail-type=all    # Send email at begin and end of job
#SBATCH --mail-user=username@tacc.utexas.edu
#SBATCH -A myproject       # Project/Allocation name (req'd if you have more than 1)

# Any other commands must follow all #SBATCH directives...
module list
pwd
date

# Set thread count (default value is 1)...
export OMP_NUM_THREADS=56   # this is 1 thread/core; may want to start lower

# Launch OpenMP code...
./mycode.exe         # Do not use ibrun or any other MPI launcher

Hybrid (MPI + OpenMP) Job

Hyperthreading is not currently enabled on Frontera

#!/bin/bash
#----------------------------------------------------
# Example Slurm job script
# for TACC Frontera CLX nodes
#
#   *** Hybrid Job in Normal Queue ***
# 
#       This sample script specifies:
#         10 nodes (capital N)
#         40 total MPI tasks (lower case n); this is 4 tasks/node
#         14 OpenMP threads per MPI task (56 threads per node)
#
# Last revised: 20 May 2019
#
# Notes:
#
#   -- Launch this script by executing
#      "sbatch clx.hybrid.slurm" on Frontera login node.
#
#   -- Use ibrun to launch MPI codes on TACC systems.
#      Do NOT use mpirun or mpiexec.
#
#   -- In most cases it's best to keep
#      ( MPI ranks per node ) x ( threads per rank )
#      to a number no more than 56 (total cores).
#
#   -- If you're running out of memory, try running
#      fewer tasks and/or threads per node to give each 
#      process access to more memory.
#
#   -- IMPI does sensible process pinning by default.
#
#----------------------------------------------------

#SBATCH -J myjob           # Job name
#SBATCH -o myjob.o%j       # Name of stdout output file
#SBATCH -e myjob.e%j       # Name of stderr error file
#SBATCH -p normal          # Queue (partition) name
#SBATCH -N 10              # Total # of nodes 
#SBATCH -n 40              # Total # of mpi tasks
#SBATCH -t 01:30:00        # Run time (hh:mm:ss)
#SBATCH --mail-type=all    # Send email at begin and end of job
#SBATCH -A myproject       # Project/Allocation name (req'd if you have more than 1)
#SBATCH --mail-user=username@tacc.utexas.edu

# Any other commands must follow all #SBATCH directives...
module list
pwd
date

# Set thread count (default value is 1)...
export OMP_NUM_THREADS=14

# Launch MPI code... 
ibrun ./mycode.exe         # Use ibrun instead of mpirun or mpiexec

Parametric / Array / HTC jobs

Coming Soon