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A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions

International Conference for High Performance Computing, Networking, Storage and Analysis, SC

Bertagna, Luca B.; Guba, Oksana G.; Taylor, Mark A.; Foucar, James G.; Larkin, Jeff; Bradley, Andrew M.; Rajamanickam, Sivasankaran R.; Salinger, Andrew G.

We present an effort to port the nonhydrostatic atmosphere dynamical core of the Energy Exascale Earth System Model (E3SM) to efficiently run on a variety of architectures, including conventional CPU, many-core CPU, and GPU. We specifically target cloud-resolving resolutions of 3 km and 1 km. To express on-node parallelism we use the C++ library Kokkos, which allows us to achieve a performance portable code in a largely architecture-independent way. Our C++ implementation is at least as fast as the original Fortran implementation on IBM Power9 and Intel Knights Landing processors, proving that the code refactor did not compromise the efficiency on CPU architectures. On the other hand, when using the GPUs, our implementation is able to achieve 0.97 Simulated Years Per Day, running on the full Summit supercomputer. To the best of our knowledge, this is the most achieved to date by any global atmosphere dynamical core running at such resolutions.

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SCREAM: a performance-portable global cloud-resolving model based on the Energy Exascale Earth System Model

Hillman, Benjamin H.; Caldwell, Peter C.; Salinger, Andrew G.; Bertagna, Luca B.; Beydoun, Hassan B.; Peter, Bogenschutz.P.; Bradley, Andrew M.; Donahue, Aaron D.; Eldred, Christopher; Foucar, James G.; Golaz, Chris G.; Guba, Oksana G.; Jacob, Robert J.; Johnson, Jeff J.; Keen, Noel K.; Krishna, Jayesh K.; Lin, Wuyin L.; Liu, Weiran L.; Pressel, Kyle P.; Singh, Balwinder S.; Steyer, Andrew S.; Taylor, Mark A.; Terai, Chris T.; Ullrich, Paul A.; Wu, Danqing W.; Yuan, Xingqui Y.

Abstract not provided.

HOMMEXX 1.0: A performance-portable atmospheric dynamical core for the Energy Exascale Earth System Model

Geoscientific Model Development

Bertagna, Luca B.; Deakin, Michael; Guba, Oksana G.; Sunderland, Daniel S.; Bradley, Andrew M.; Kalashnikova, Irina; Taylor, Mark A.; Salinger, Andrew G.

We present an architecture-portable and performant implementation of the atmospheric dynamical core (High-Order Methods Modeling Environment, HOMME) of the Energy Exascale Earth System Model (E3SM). The original Fortran implementation is highly performant and scalable on conventional architectures using the Message Passing Interface (MPI) and Open MultiProcessor (OpenMP) programming models. We rewrite the model in C++ and use the Kokkos library to express on-node parallelism in a largely architecture-independent implementation. Kokkos provides an abstraction of a compute node or device, layout-polymorphic multidimensional arrays, and parallel execution constructs. The new implementation achieves the same or better performance on conventional multicore computers and is portable to GPUs. We present performance data for the original and new implementations on multiple platforms, on up to 5400 compute nodes, and study several aspects of the single-and multi-node performance characteristics of the new implementation on conventional CPU (e.g., Intel Xeon), many core CPU (e.g., Intel Xeon Phi Knights Landing), and Nvidia V100 GPU.

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16 Results
16 Results