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Proceedings Paper

On the acceleration of Eta Ferrier Cloud Microphysics Scheme in the Weather Research and Forecasting (WRF) model using a GPU
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Paper Abstract

The Eta Ferrier cloud microphysics scheme is a sophisticated cloud microphysics module in the Weather Research and Forecasting (WRF) model. In this paper, we present the approach and the results of accelerating the Eta Ferrier microphysics scheme on NVIDIA Graphics Processing Units (GPUs). We discuss how our GPU implementation takes advantage of the parallelism in Eta Ferrier scheme, leading to a highly efficient GPU acceleration. We implement the Eta Ferrier microphysics scheme on NVidia GTX 590 GPU. Our 1-GPU implementation achieves an overall speedup of 37 as compared with a single thread CPU. Since Eta Ferrier microphysics scheme is only an intermediate module of the entire WRF model, the GPU I/O should not occur, i.e. its input data should be already available in the GPU global memory from previous modules and its output data should reside at the GPU global memory for later usage by other modules. The speedup without the host-device data transfer time is 272 with respect to its serial version running on 3.20GHz Intel® CoreTM i7 970 CPU.

Paper Details

Date Published: 8 November 2012
PDF: 11 pages
Proc. SPIE 8539, High-Performance Computing in Remote Sensing II, 85390K (8 November 2012); doi: 10.1117/12.976908
Show Author Affiliations
Melin Huang, Cooperative Institute for Meteorological Satellite Studies (United States)
Jarno Mielikainen, Cooperative Institute for Meteorological Satellite Studies (United States)
Bormin Huang, Cooperative Institute for Meteorological Satellite Studies (United States)
H.-L. Allen Huang, Cooperative Institute for Meteorological Satellite Studies (United States)
Mitchell D. Goldberg, National Oceanic and Atmospheric Administration (United States)


Published in SPIE Proceedings Vol. 8539:
High-Performance Computing in Remote Sensing II
Bormin Huang; Antonio J. Plaza, Editor(s)

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