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Going Parallel (part II)

7 December 2022
Namur
Europe/Brussels timezone

Contribution List

3 out of 3 displayed
  1. 1. Parallel programming with OpenMP
    Orian Louant (Université de Liège), David Colignon (ULiège)
    07/12/2022, 09:00
    <td...

    OpenMP is an easy alternative to pthreads for multithread computing. OpenMP extensions now exist in most C and Fortran compilers and allow flagging loops and other construct for efficient multithreading with little supplementary programming effort. 
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  2. 2. Parallel programming on GPU with CUDA
    Olivier Mattelaer (UCLouvain/CISM)
    07/12/2022, 13:30

    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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  3. 3. Directive Based Parallel programming on GPU (OpenACC)
    Orian Louant (Université de Liège)
    07/12/2022, 15:30

    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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