Going Parallel: (part III : GPU programming)

Parallel programming on GPU with CUDA

3 Dec 2025, 09:30

1h 30m

CYCL09B (Louvain-La-Neuve)

Speaker

Pieter Heremans (UCLouvain)

Description

Cuda is the most common way to code GPU application from scratch develloped by NVidia, it allows to push NVidia GPU to the maximum of their possibilities

Contents: Basic of GPU hardware Basic of programming with CUDA using nsight to profile your code

Prerequisite: Being able to use SSH with private keys  Being familiar with a text editor  Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.) Basic knowledge of C Type: Hands-on Target audience: Rookie programmer Must: This session is a nice-to-have for those who need to develop highly parallel scientific software.

Presentation materials

22_12_Cuda_CISM.pdf