Python

NREL HPC Tutorials

• Python environments: Utilize a specific version of Python and install packages
• Dask: Parallelize your Python code
• Jupyter notebooks: Run interactive notebooks

Parallel Interactive Tutorials

Tutorials for parallel computing with python through Jupyter notebooks

• Setting up modules and allocating compute resources for parallel jobs
• Example jupyter notebooks to download and test:
  • cupy
  • numbaCUDA
  • cupy ipyparallel
  • dask

HPC Python

Links to External resources:

• MPI4PY: Python bindings to use MPI to distribute computations across cluster nodes
• Dask: Easily launch Dask workers on one node or across nodes
• Numba: Optimize your Python code to run faster
• PyCUDA: Utilize GPUs to accelerate computations