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Going Parallel (part III : GPU)

30 November 2023
Louvain-La-Neuve
Europe/Brussels timezone

Contribution List

3 out of 3 displayed
  1. 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...
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  2. 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...

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  3. 4. GPU Optimization
    Miguel De Le Court
    30/11/2023, 14:00