AMD keeps innovating, and each generation of silicon brings new features to leverage. This comes along with a wide range of products to cover different needs. One proposes in this presentation to go behind the scenes and explain from a technical perspective what guides the choice to uplift the performance when running weather & climate applications regarding the vendor design and the targeted generation.
The highlighted characterization process will link the performance of a benchmark. the framework associated to a dataset, to the hardware, as well as the ecosystem. One will review the metrics which matter and how to quantify their impacts. The properties of real applications running in production will be assessed on EPYCTM 9004 (Genoa) and EPYCTM 9005 (Turin) processors to illustrate.
In the latter part, AI for weather forecasting will be introduced on accelerators, especially on AMD InstinctTM GPUs such as the MI300 series.
