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Solving the Global Atmospheric Equations through Heterogeneous Reconfigurable Platforms
ACM Transactions on Reconfigurable Technology and Systems
One of the most essential and challenging components in climate modeling is the atmospheric model. To solve the multi-physical atmospheric equations, developers have to face extremely complex stencil kernels that are costly in terms of both computing and memory resources. This paper aims to accelerate the solution of the global shallow water equations (SWEs), which is one of the most essential equation sets that describes the atmospheric dynamics. We first design a hybrid methodology thatdoi:10.1145/2629581 fatcat:gq2vc7wnyzhaxkzm4vnlso526y