An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units
Computing highly-accurate approximate solutions to partial differential equations (PDEs) requires both a robust numerical method and a powerful machine. We present a parallel implementation of the discontinuous Galerkin (DG) method on graphics processing units (GPUs). In addition to being flexible a...
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| Language: | en |
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2013
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| Online Access: | http://hdl.handle.net/10012/7523 |