Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3483-2016
https://doi.org/10.5194/gmd-9-3483-2016
Development and technical paper
 | 
29 Sep 2016
Development and technical paper |  | 29 Sep 2016

Earth system modelling on system-level heterogeneous architectures: EMAC (version 2.42) on the Dynamical Exascale Entry Platform (DEEP)

Michalis Christou, Theodoros Christoudias, Julián Morillo, Damian Alvarez, and Hendrik Merx

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Cited articles

Aoyama, Y. and Nakano, J.: RS/6000 SP: Practical MPI Programming, 1999.
Beltran, V., Labarta, J., and Sainz, F.: Collective Offload for Heterogeneous Clusters, IEEE International High Performance Computing (HiPC), Bangalore, India, 2015.
Bueno, J., Martinell, L., Duran, A., Farreras, M., Martorell, X., Badia, R. M., Ayguade, E., and Labarta, J.: Productive cluster programming with OmpSs, Euro-Par 2011 Parallel Processing, Lecture Notes in Computer Science 6852, 555–566, 2011.
Bueno, J., Planas, J., Duran, A., Badia, R. M., Martorell, X., Ayguade, E. and Labarta, J.: Productive Programming of GPU Clusters with OmpSs, Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International, 557–568, 2012.
Dagum, L. and Menon, R.: OpenMP: an industry standard API for shared-memory programming, IEEE Computational Science & Engineering, 5, 46–55, 1998.
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Short summary
We examine an alternative approach to heterogeneous cluster-computing for Earth system models, using the EMAC model as a pilot application on the Dynamical Exascale Entry Platform (DEEP). A set of autonomous interconnected coprocessors complements a conventional HPC cluster to increase computing performance and offer extra flexibility to expose multiple levels of parallelism and achieve better scalability, towards exploiting the potential of a fully Exascale-capable platform.
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