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Going Parallel (part III : GPU)

30 November 2023
Louvain-La-Neuve
Europe/Brussels timezone
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2. Parallel programming on GPU with CUDA
Olivier Mattelaer (UCLouvain/CISM)
30/11/2023, 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 (OpenACC)
Orian Louant (Université de Liège)
30/11/2023, 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
30/11/2023, 14:00
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