Articles | Volume 10, issue 10
Development and technical paper
10 Oct 2017
Development and technical paper |  | 10 Oct 2017

GPU-accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52)

Michail Alvanos and Theodoros Christoudias

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Cited articles

Alvanos, M., and Christoudias, T.: MEDINA: MECCA development in accelerators – KPP Fortran to CUDA source-to-source Pre-processor, J. Open Res. Softw., 5,, 2017a.
Alvanos, M., and Christoudias, T.: MECCA – KPP Fortran to CUDA source-to-source pre-processor, available at:, 2017b.
Christou, M., Christoudias, T., Morillo, J., Alvarez, D., and Merx, H.: Earth system modelling on system-level heterogeneous architectures: EMAC (version 2.42) on the Dynamical Exascale Entry Platform (DEEP), Geosci. Model Dev., 9, 3483–3491,, 2016.
Christoudias, T., and Alvanos, M.: Accelerated chemical kinetics in the EMAC chemistry-climate model, in: High Performance Computing &Simulation (HPCS), 2016 International Conference on, IEEE, Innsbruck, Austria, 886–889,, 2016.
Corden, M. J., and Kreitzer, D.: Consistency of Floating-Point Results using the Intel® Compiler, Intel Corporation, 2012.
Short summary
We present an application of GPU accelerators in Earth system modeling. We developed software that generates CUDA kernels for numerical integration in the global climate model EMAC, used to study climate change and air quality. We focus on atmospheric chemical kinetics, the most computationally intensive task in climate–chemistry simulations. This approach can serve as the basis for hardware acceleration of numerous geoscientific models that rely on KPP for chemical kinetics applications.