The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: Tenth Workshop on Accelerator Programming and Directives (WACCPD 2023)
Authors: Naima Alaoui Ismaili (CINES, Hewlett Packard Enterprise (HPE)/EOLEN)
Abstract: This paper presents the results of our efforts to port Meso-NH, an atmospheric non-hydrostatic research model, to AMD MI250X GPUs using OpenACC on the ADASTRA Machine, a technology similar to the Frontier system [1]. Meso-NH is a versatile model that covers a wide range of resolutions from synoptic to turbulent scales, and is designed for studies of physics and chemistry. Numerical simulation of the atmosphere is crucial for understanding and predicting weather and climate extremes. Current numerical weather prediction codes are limited to specific resolutions on global and regional scales. The Meso-NH code, however, tackles scales and complexities beyond what is typically used in operational forecasting.
We collaborated with GENCI, CINES, HPE, and AMD on the "progress contract," for ADASTRA machine aiming to achieve simulations at hectometric resolution for recent storms in the Atlantic and Mediterranean regions, characterized by extreme wind gusts.
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