• Indico style
  • Indico style - inline minutes
  • Indico style - numbered
  • Indico style - numbered + minutes
  • Indico Weeks View

Choose timezone

Your profile timezone:
Use timezone based on:
Login

Going Parallel: GPU

4 December 2024
Louvain-La-Neuve
Europe/Brussels timezone
  • Overview
  • Timetable
  • Contribution List
  • Registration

Contribution List

3 / 3
2. Parallel programming on GPU with CUDA
Olivier Mattelaer (UCLouvain/CISM)
04/12/2024, 09:30

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...
3. Directive Based Parallel programming on GPU
Orian Louant (Université de Liège)
04/12/2024, 11:15

This course is an introduction to OpenACC and OpenMP to target GPU. These programming models are based on programmers inserting hints into their C/C++ or Fortran programs on how the code can be parallelized. OpenMP, was initially designed for shared-memory system with CPU but has recently been extended to target heterogeneous systems with accelerators like GPU.  OpenACC, on the other...

4. GPU Optimization
Miguel De Le Court
04/12/2024, 14:00
Indico
Powered by Indico v3.3.3
  • Help
  • Contact
  • Privacy