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dc.contributor.author
Rosenberg, Duane  
dc.contributor.author
Mininni, Pablo Daniel  
dc.contributor.author
Reddy, Raghu  
dc.contributor.author
Pouquet, Annick  
dc.date.available
2021-11-04T16:35:29Z  
dc.date.issued
2020-02  
dc.identifier.citation
Rosenberg, Duane; Mininni, Pablo Daniel; Reddy, Raghu; Pouquet, Annick; GPU parallelization of a hybrid pseudospectral geophysical turbulence framework using CUDA; Molecular Diversity Preservation International; Atmosphere; 11; 2; 2-2020; 1-22  
dc.identifier.issn
2073-4433  
dc.identifier.uri
http://hdl.handle.net/11336/146032  
dc.description.abstract
An existing hybrid MPI-OpenMP scheme is augmented with a CUDA-based fine grain parallelization approach for multidimensional distributed Fourier transforms, in a well-characterized pseudospectral fluid turbulence code. Basics of the hybrid scheme are reviewed, and heuristics provided to show a potential benefit of the CUDA implementation. The method draws heavily on the CUDA runtime library to handle memory management and on the cuFFT library for computing local FFTs. The manner in which the interfaces to these libraries are constructed, and ISO bindings utilized to facilitate platform portability, are discussed. CUDA streams are implemented to overlap data transfer with cuFFT computation. Testing with a baseline solver demonstrated significant aggregate speed-up over the hybrid MPI-OpenMP solver by offloading to GPUs on an NVLink-based test system. While the batch streamed approach provided little benefit with NVLink, we saw a performance gain of 30% when tuned for the optimal number of streams on a PCIe-based system. It was found that strong GPU scaling is nearly ideal, in all cases. Profiling of the CUDA kernels shows that the transform computation achieves 15% of the attainable peak FlOp-rate based on a roofline model for the system. In addition to speed-up measurements for the fiducial solver, we also considered several other solvers with different numbers of transform operations and found that aggregate speed-ups are nearly constant for all solvers.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Molecular Diversity Preservation International  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COMPUTATIONAL FLUIDS  
dc.subject
CUDA  
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GPU  
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MPI  
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NUMERICAL SIMULATION  
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OPENMP  
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PARALLEL COMPUTING  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
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Ciencias de la Computación  
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Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
GPU parallelization of a hybrid pseudospectral geophysical turbulence framework using CUDA  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-09-07T18:27:04Z  
dc.journal.volume
11  
dc.journal.number
2  
dc.journal.pagination
1-22  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Rosenberg, Duane. State University of Colorado - Fort Collins; Estados Unidos  
dc.description.fil
Fil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina  
dc.description.fil
Fil: Reddy, Raghu. Environmental Modeling Center; Estados Unidos  
dc.description.fil
Fil: Pouquet, Annick. State University of Colorado at Boulder; Estados Unidos. National Center for Atmospheric Research; Estados Unidos  
dc.journal.title
Atmosphere  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4433/11/2/178  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/atmos11020178