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dc.contributor.authorGiraldo, Francis
dc.contributor.authorAbdi, Daniel
dc.contributor.authorWilcox, Lucas
dc.contributor.authorWarburton, Timothy
dc.dateDecember 16, 2015
dc.date.accessioned2016-06-01T20:33:31Z
dc.date.available2016-06-01T20:33:31Z
dc.date.issued2015-12-16
dc.identifier.citationGPU Accelerated Spectral Element Methods: 3D Euler equations American Geophysical Union (AGU) Fall Meeting, 16 December 2015en_US
dc.identifier.urihttp://hdl.handle.net/10945/48821
dc.description.abstractA GPU accelerated nodal discontinuous Galerkin method for the solution of the 3D Euler equations in the Non-hydrostatic Unified Model of the Atmosphere (NUMA) is presented. We use algorithms suitable for the single instruction multiple thread architecture of GPUs to accelerate the dynamical core of NUMA by two orders of magnitude relative to one core of a CPU. Tests on one node of the Titan supercomputer yield a speedup of upto 15X on one K20x GPU relative to that on an AMD Opteron CPU with 16 cores. The scalability of the multi-GPU implementation is tested using 16384 GPUs, which resulted in a weak scaling efficiency of about 90%. For portability to heterogeneous computing environment, we used a new programming language OCCA, which can be cross-compiled to either OpenCL, CUDA or OpenMP at runtime. Finally, the accuracy and performance of our GPU implementations are verified using benchmark problems representative of different scales of atmospheric dynamics.en_US
dc.description.sponsorshipOffice of Naval Research through program element PE-0602435Nen_US
dc.description.sponsorshipOak Ridge Leadership Computing Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725en_US
dc.format.extent1 p.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleGPU Accelerated Spectral Element Methods: 3D Euler equationsen_US
dc.typePosteren_US
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentApplied Mathematics
dc.description.funderOffice of Naval Research through program element PE-0602435Nen_US
dc.description.funderOak Ridge Leadership Computing Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725en_US


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