This course gives beginner programmers an introduction to parallel programming.Parallel programming involves breaking down of a larger problem into smaller ones and dealing with them. Instructions on that are delivered to multiple processors, which will execute necessary calculations in parallel – hence the name. On this course, you will explore the fundamentals of parallel programming using C, C++, Python, Fortran, CUDA/OpenCL programming languages. The course is delivered in a four days format using UL-FME’s training facilities. It is taught using a variety of methods including formal lectures, practical exercises, programming examples and informal tutorial discussions.

This course is a PRACE training centre event.

Target audience:

The target audience consists of postgraduate students and young researchers of technical and natural sciences and engineers from industry, where supercomputing can be offer a competitive advantage (automotive, electronic, material industry), logistics, etc.

This training is intended for users established in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 here https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_en

Perequisite knowledge:

For the hands-on sessions participants should know how to work on the Unix/Linux command line and have intermediate skills in programming with C/C++. Since the focus of the school is on parallelization, participants have to be familiar with the topic and must have basic knowledge in OpenMP and MPI.

Skills to be gained:

At the end of the course the student will be able to:

learn how to use OpenMP (Open MultiProcessing) for incremental parallelisation within a single multicore shared memory paradigm
learn how to use the MPI (Message Passing Interface) message passing standard to control communication between two processes, subroutines, or functions within a program
get an introduction to the OpenMPI library project, used by TOP500 supercomputers, which aims to create a single worldclass open source MPI implementation based on best practice
learn how to express numerical problems in parallel programming paradigms, gaining an awareness of potential design and performance pitfalls in heterogeneous architectures
get an introduction to hybrid and accelerated paradigms (CUDA, OpenCL)

Event is organised by LECAD Laboratory, University of Ljubljana, Slovenia.

Participation is free of charge! 

In light of COVID-19 situation, this will be an online event.
ZOOM link: https://us06web.zoom.us/j/88989235409?pwd=TWRybGFpNTJGTjNnOExuekpOZDZXdz09
https://events.prace-ri.eu/event/1374/