Going Parallel (part II)

Parallel programming on GPU with CUDA

7 Dec 2022, 13:30

1h 45m

Banque nationale: BN/055 (Namur)

Speaker

Olivier Mattelaer (UCLouvain/CISM)

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