Otero E, Gong J, Min M, Fischer P, Schlatter P, Laure E (2019)
Publication Type: Journal article
Publication year: 2019
Book Volume: 132
Pages Range: 69-78
DOI: 10.1016/j.jpdc.2019.05.010
Due to its high performance and throughput capabilities, GPU-accelerated computing is becoming a popular technology in scientific computing, in particular using programming models such as CUDA and OpenACC. The main advantage with OpenACC is that it enables to simply port codes in their “original” form to GPU systems through compiler directives, thus allowing an incremental approach. An OpenACC implementation is applied to the CFD code Nek5000 for simulation of incompressible flows, based on the spectral-element method. The work follows up previous implementations and focuses now on the P
APA:
Otero, E., Gong, J., Min, M., Fischer, P., Schlatter, P., & Laure, E. (2019). OpenACC acceleration for the PN–PN-2 algorithm in Nek5000. Journal of Parallel and Distributed Computing, 132, 69-78. https://doi.org/10.1016/j.jpdc.2019.05.010
MLA:
Otero, Evelyn, et al. "OpenACC acceleration for the PN–PN-2 algorithm in Nek5000." Journal of Parallel and Distributed Computing 132 (2019): 69-78.
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