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This repository contains the material used for the course [High-Performance Computing with Python], organized at CSCS on 21-23 June 2022

The course covers the following topics:

  • Vectorization with NumPy and the SciPy stack
  • Profiling python code
  • Extending python with cython, cffi and f2py
  • Just-in-time compilation with numba
  • Distributed-memory parallel programming with python
  • Interfaces to GPUs

Course Instructors:

  • Dr. Rafael Sarmiento (Computational Scientist, CSCS)
  • Dr. Theofilos Manitaras (Computational Scientist, CSCS)

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  • Jupyter Notebook 87.2%
  • Python 10.5%
  • Fortran 1.3%
  • C 0.5%
  • Cython 0.4%
  • Makefile 0.1%
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