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DTSTART;TZID=America/Denver:20231113T090100
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UID:submissions.supercomputing.org_SC23_sess444_ws_waccpd103@linklings.com
SUMMARY:Porting and Optimizing Meso-NH to AMD MI250X GPUs
DESCRIPTION:Naima Alaoui Ismaili (CINES, Hewlett Packard Enterprise (HPE))
 \n\nThis paper presents the results of our efforts to port Meso-NH, an atm
 ospheric non-hydrostatic research model, to AMD MI250X GPUs using OpenACC 
 on the ADASTRA Machine, a technology similar to the Frontier system [1]. M
 eso-NH is a versatile model that covers a wide range of resolutions from s
 ynoptic to turbulent scales, and is designed for studies of physics and ch
 emistry.  Numerical simulation of the atmosphere is crucial for understand
 ing and predicting weather and climate extremes. Current numerical weather
  prediction codes are limited to specific resolutions on global and region
 al scales. The Meso-NH code, however, tackles scales and complexities beyo
 nd what is typically used in operational forecasting. \n\nWe collaborated 
 with GENCI, CINES, HPE, and AMD on the "progress contract," for ADASTRA ma
 chine aiming to achieve simulations at hectometric resolution for recent s
 torms in the Atlantic and Mediterranean regions, characterized by extreme 
 wind gusts.\n\nTag: Accelerators, Artificial Intelligence/Machine Learning
 , Algorithms, Applications, Compilers, Data Movement and Memory, Heterogen
 eous Computing, Modeling and Simulation, Performance Optimization, Program
 ming Frameworks and System Software, Runtime Systems\n\nRegistration Categ
 ory: Workshop Reg Pass\n\nSession Chairs: Maciej Cytowski (Pawsey Supercom
 puting Research Centre; Commonwealth Scientific and Industrial Research Or
 ganisation (CSIRO), Australia); Verónica G. Melesse Vergara (Oak Ridge Nat
 ional Laboratory (ORNL)); and Jose Manuel Monsalve Diaz (Advanced Micro De
 vices (AMD))\n\n
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