Speaker
István Zoltán Reguly
(Pázmány Péter Catholic University, Hungary)
Description
In this talk, I will present my experiences building a range of Computational Fluid Dynamics applications on LUMI that use a variety of parallelization approaches, such as HIP, OpenMP offload, and SYCL. Given the relatively new AMD GPU platform, I discuss issues and limitations that affect development, debugging and performance analysis. I show a contrasting analysis of performance as a function of compilers and applications. For a few applications I also show and discuss strong and weak scalability up to 2000 GPUs and a problem size of half a trillion cells. Overall the MI250X GPU is a strong competitor to the NVIDIA A100 GPU given its raw performance, however there are still significant usability issues, making development challenging.
Primary author
István Zoltán Reguly
(Pázmány Péter Catholic University, Hungary)
