Changes between Version 4 and Version 5 of cypress/Python


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Timestamp:
Aug 19, 2015 2:10:03 PM (6 years ago)
Author:
cmaggio
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  • cypress/Python

    v4 v5  
    188188== Running a Python script in Batch mode ==
    189189
    190 [[cypress/IntoToHpcWorkshop2015|Return to Workshop Homepage]]
    191 
     190You can also submit your Python job to the batch nodes (compute nodes) on Cypress. Inside your SLURM script, include a command to load the desired Python module. Then invoke '''python''' on your python script.
     191
     192{{{#!bash
     193#!/bin/bash
     194#SBATCH --qos=workshop          # Quality of Service
     195#SBATCH --partition=workshop    # Partition
     196#SBATCH --job-name=python       # Job Name
     197#SBATCH --time=00:01:00         # WallTime
     198#SBATCH --nodes=1               # Number of Nodes
     199#SBATCH --ntasks-per-node=1     # Number of tasks (MPI processes)
     200#SBATCH --cpus-per-task=1       # Number of threads per task (OMP threads)
     201
     202module load anaconda
     203python mypythonscript.py
     204}}}
     205
     206== Running a Parallel Python Job ==
     207
     208The exact configuration of you parallel job script will depend on the flavor of parallelism that you choose for you Python script.
     209
     210As an example we will use the Parallel Python (pp) package that we installed above. Parallel Python used the shared memory model of parallelism (analogous to to OpenMP). Let's run the [http://www.parallelpython.com/content/view/17/31/ sum of primes] example from the Parallel Python website.
     211
     212We need to communicate the number of cores we wish to use to our script. The syntax here is
     213
     214{{{
     215python sum_primes.py [ncpus]
     216}}}
     217
     218We can communicate the SLURM parameters to the script using the appropriate SLURM environment variable.
     219
     220
     221
     222[[cypress/IntoToHpcWorkshop2015| Return to Workshop Homepage]]
     223