Distributed Computing In-Person

The Parallel programming in Python workshop gets you up to speed with parallellizing your Python code on a single compute node (e.g. with 16 or 128 CPU cores). If you wish to distribute work accross multiple compute nodes then this workshop is for you!

MPI (Message Passing Interface) is the standard for writing parallel code where communication is necessary between parallel processes.

In this workshop you will learn the basics of writing an MPI-parallelized code using Python or Fortran.

Prerequisites:

Introduction to Bash
Introduction to Supercomputing 1
Introduction to Supercomputing 3
suggested: Parallel Programming in Python

Date:: Wednesday, June 10, 2026
Time:: 9:00 - 17:00
Time Zone:: Central European Time (change)
Location:: Bucheliuszaal 6.18
Campus:: University Library Utrecht Science Park
Audience:: Researchers
Categories:: Workshop/Training

Event box

Distributed Computing In-Person

Prerequisites:

Event Organizer