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.
Author
István Zoltán Reguly
(Pázmány Péter Catholic University, Hungary)