Date: 20 March 2017 @ 09:00 - 00:00

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.

Detailed time/place info

20.03.2017, 13:00-17:00

Venue: ICTS Opleidingscentrum room B

City: Heverlee

Country: Belgium

Postcode: 3001


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