Python for HPC
Optimize and Scale Python Code for High-Performance Computing.
Praktische info:
Leertraject
Inschrijven?
- Voorwaarden: Participants have programming experience in Python and preferably also in C/C++ or Fortran.
- Prijs: Gratis
Topics covered
Python is making inroads into the HPC landscape. However, writing Python code for efficient scientific computing is not entirely trivial. In this course a variety of techniques and libraries will be discussed that are useful in this context. Subjects covered include profiling of code to discover opportunities for optimization, using Cython, a Python extension that translate critical code sections into efficient C, wrapping C/C++/Fortran libraries in Python, multithreaded/multiprocess Python, distributed programming use mpi4py, and pySpark for data science.
Result/Objectives
Participants can make an informed choice on various techniques to improve the performance of Python code, and know how to call C/C++ or Fortran functions from Python.