2 papers
physics.comp-ph2024
Adapting Atmospheric Chemistry Components for Efficient GPU Accelerators
Christian Guzman Ruiz, Matthew Dawson, Mario C. Acosta +4
Atmospheric models demand a lot of computational power and solving the chemical processes is one of its most computationally intensive components. This work shows how to improve th…
cs.AR2024
Optimized thread-block arrangement in a GPU implementation of a linear solver for atmospheric chemistry mechanisms
Christian Guzman Ruiz, Mario Acosta, Oriol Jorba +5
Earth system models (ESM) demand significant hardware resources and energy consumption to solve atmospheric chemistry processes. Recent studies have shown improved performance from…