Exascale Programming Approaches for Accelerated Climate Modeling for Energy

Book · Wed Nov 01 00:00:00 EDT 2017

DOI:https://doi.org/10.1201/b21930-9· OSTI ID:1524897

Norman, Matthew ^[1]; Mametjanov, Azamatbek ^[1]; Taylor, Mark ^[2]

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1. ORNL
2. Sandia National Laboratories (SNL)

The Accelerated Climate Modeling for Energy (ACME) project model is composed of five main components: atmosphere, ocean, land surface, sea ice, and land ice. The atmospheric component, the community atmosphere model-spectral element (CAM-SE) is based on a local, time-explicit spectral element (SE) method on cubed-sphere topology with static adaptation capability. CAM-SE realizes spherical geometry by use of the so-called cubed-sphere grid, which in this case utilizes a nonorthogonal equal-angle gnomonic projection from a cube onto the sphere. The fact that the SE method at its core is essentially made up of 1-D sweeps of matrix-vector multiplies is advantageous for graphics processing units because this means that data fetched from dynamic random-access memory will be reused. For the sake of efficiency, the choice was made at the creation of CAM-SE to structure the OpenMP implementation using parallel regions instead of loop-level OpenMP.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1524897
• Country of Publication: United States
• Language: English