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Practical 1: Exporing Python Performance with Computational Fluid Dynamics

  • Connect to Cirrus with X forwarding turned on (ssh -XY)

    • You are free to use a machine of your choosing other than Cirrus, however it will need the following:
      • a Python distribution (Python 2 or Python 3) that includes NumPy, SciPy, and Numba (e.g. the Anaconda distribution)
      • gcc and/or gfortran
  • Clone this repository on Cirrus: git clone https://github.com/EPCCed/APT-python4hpc.git

  • module load anaconda gcc/8.2.0 ImageMagick

  • Follow the practical instructions in the browser, starting with README.ipynb

  • To view flow.png files, use the display command (need to load the ImageMagick module for this to work)