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High-performance computing with Python (training course, online)

→ Europe/Berlin
Description

This course will take place as an online event. The link to the online platform will be provided to the accepted registrants only.

 

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

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

The following topics will be covered:

  • Short review of vectorized programming with NumPy
  • Interactive parallel programming with IPython
  • Profiling and optimization
  • High-performance NumPy
  • Just-in-time compilation with numba
  • Distributed-memory parallel programming with Python and MPI
  • Bindings to other programming languages and HPC libraries
  • Interfaces to GPUs

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

Language:

This course is given in English.

Date:

10 June - 14 June 2024, 09:00-13:00 each day

Further information:

please visit the JSC webpage (https://go.fzj.de/2024-hpc-python)

Instructors:

Jan H. Meinke and Olav Zimmermann (JSC)

HPCPy2024Check.ipynb
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