A Fast GPU-accelerated Mixed-precision Strategy for Fully NonlinearWater Wave Computations

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

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We present performance results of a mixed-precision strategy developed to improve a recently developed massively parallel GPU-accelerated tool for fast and scalable simulation of unsteady fully nonlinear free surface water waves over uneven depths (Engsig-Karup et.al. 2011). The underlying wave model is based on a potential flow formulation, which requires efficient solution of a Laplace problem at large-scales. We report recent results on a new mixed-precision strategy for efficient iterative high-order accurate and scalable solution of the Laplace problem using a multigrid-preconditioned defect correction method. The improved strategy improves the performance by exploiting architectural features of modern GPUs for mixed precision computations and is tested in a recently developed generic library for fast prototyping of PDE solvers. The new wave tool is applicable to solve and analyze large-scale wave problems in coastal and offshore engineering.
Original languageEnglish
Title of host publicationProceedings of ENUMATH 2011
Number of pages8
PublisherUniversity of Leicester
Publication date2011
StatePublished

Conference

ConferenceENUMATH 2012
CountryUnited Kingdom
CityLeicester
Period05/09/1209/09/12
Internet addresshttp://www2.le.ac.uk/departments/mathematics/research/enumath2011
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