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Training course "High-performance computing with Python" @ JSC

26.Jun.2014 09:00
27.Jun.2014 16:30
JSC, Jülich

Python is being increasingly used in high-performance computing projects such as GPAW. It can be used either as a high-level interface to existing HPC applications, as embedded interpreter, or directly.

This course combines lectures and hands-on session. We will show how Python can be used on parallel architectures and how performance critical parts of the kernel can be optimized using various tools.

Day 1: Using Python productively for parallel computing

  • Interactive parallel programming with IPythonpandas
  • High-performance NumPy and SciPy
  • ‘Scalable Python’ on JUQUEEN
  • mpi4py

Day 2: Python in concert with other programming languages and accelerators

  • Cython
  • f2py
  • PyCUDA
  • PyOpenCL
  • Numba
  • Pythran

This course is aimed at scientists who wish to explore the productivity gains made possible by Python for HPC.