Abstract
The global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC) is a modular global model that simulates climate change and air quality scenarios. The application includes different sub-models for the calculation of chemical species concentrations, their interaction with land and sea, and the human interaction. The paper presents a source-to-source parser that enables support for Graphics Processing Units (GPU) by the Kinetic Pre-Processor (KPP) general purpose open-source software tool. The requirements of the host system are also described. The source code of the source-to-source parser is available under the MIT License.
Highlights
The global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC) is a modular global model that simulates climate change and air quality scenarios
(1) Overview Introduction The numerical global atmosphere-chemistry model EMAC (ECHAM/MESSy Atmospheric Chemistry) is a modular application used for climate modeling simulations [5]
Chemical kinetics can take up to 90% of execution time [2]. To address this computational challenge, this paper presents a source-to-source parser that transforms the output of Kinetic Pre-Processor (KPP) from FORTRAN to Graphics Processing Units (GPU) accelerated code by generating a CUDA [7] compatible solver [3]
Summary
The global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC) is a modular global model that simulates climate change and air quality scenarios. MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Pre-processor The paper presents a source-to-source parser that enables support for Graphics Processing Units (GPU) by the Kinetic Pre-Processor (KPP) general purpose open-source software tool. EMAC uses the chemical kinetic module MECCA [8], utilizing the Kinetic Pre-Processor (KPP) general purpose opensource software tool [4] to calculate the concentrations and the interactions between different chemical species in the atmosphere.
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