Changes between Version 4 and Version 5 of cypress/Python

Timestamp:

08/19/15 14:10:03 (9 years ago)

Author:

cmaggio

Comment:

—

cypress/Python

@@ -188 +188 @@
 == Running a Python script in Batch mode ==
 
-[[cypress/IntoToHpcWorkshop2015|Return to Workshop Homepage]]
-
+You 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.
+
+{{{#!bash
+#!/bin/bash
+#SBATCH --qos=workshop          # Quality of Service
+#SBATCH --partition=workshop    # Partition
+#SBATCH --job-name=python       # Job Name
+#SBATCH --time=00:01:00         # WallTime
+#SBATCH --nodes=1               # Number of Nodes
+#SBATCH --ntasks-per-node=1     # Number of tasks (MPI processes)
+#SBATCH --cpus-per-task=1       # Number of threads per task (OMP threads)
+
+module load anaconda
+python mypythonscript.py
+}}}
+
+== Running a Parallel Python Job ==
+
+The exact configuration of you parallel job script will depend on the flavor of parallelism that you choose for you Python script. 
+
+As 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. 
+
+We need to communicate the number of cores we wish to use to our script. The syntax here is
+
+{{{
+python sum_primes.py [ncpus]
+}}}
+
+We can communicate the SLURM parameters to the script using the appropriate SLURM environment variable.
+
+
+
+[[cypress/IntoToHpcWorkshop2015| Return to Workshop Homepage]]
+