As the use of GPUs in HPC is spreading fast, several models are now available to programmers. During the tutorial we will introduce the directive-based approach to GPU programming. While being quite simple to implement, it allows to reach performance similar to lower level paradigms.
We will present the basic concepts of OpenACC model through several examples and hands-on sessions. The main pitfalls and good practice will be presented. Also a part of the tutorial will be dedicated to more advanced topics such as multi-GPU usage.
We will also give some insights of the tools available to assess the performance
Learning Outcomes :
– Ability to execute code on GPUs using OpenACC
– Assessment of the performance of the code
– Basic knowledge of Fortran and/or C and/or C++
– No prior knowledge of OpenACC is required
Introduction to ScaLAPACK and MAGMA libraries [ONLINE]
Uncertainty in computer simulations, deterministic and probabilistic methods for quantifying uncertainty, OpenTurns software, Uranie software