SlurmiPy
Run python functions on a SLURM cluster as easy as:
@slurm_cluster.execute
def hello_world():
print("YAY, I am running via SLURM!")
SlurmiPy provides a factory class for managing Dask clusters on SLURM-based systems and provides very easy exectution of python code on a SLURM cluster.
Installation
pip install slurmipy
Usage
Here iss a basic example of how to use SlurmiPy on NERSCs' Perlmutter Supercomputer:
from slurmipy import SlurmiPy, configs
# Create a SLURM cluster with 4 jobs
slurm_cluster = SlurmiPy(jobs=4, **configs["perlmutter_shared_interactive"])
@slurm_cluster.execute
def process_data(data):
return [x**2 for x in data]
# Execute the function using the SLURM cluster
result = process_data([1, 2, 3, 4])
print(result) # Output: [1, 4, 9, 16]
1 maintainer
Metadata
1 maintainer
Release files for slurmipy 2024.0.4
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