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Proceedings Paper

GPU acceleration of WRF WSM5 microphysics
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Paper Abstract

The Weather Research and Forecast (WRF) model is the most widely used community weather forecast and research model in the world. There are several single moment ice microphysics models in WRF. A mixed phase for WRF Single Moment (WSM) represents the condensation, precipitation, and thermodynamic effects of latent heat release. In this paper, we will show our optimization efforts on WSM5. The processing time can be reduced from 16928 ms on CPU to 48.3 ms using General Purpose Graphics Processing Unit (GPGPU). Thus, the speedup is 350x without I/O using a single GPU. Taking I/O transfer times into account the speedup is 202x.

Paper Details

Date Published: 12 October 2011
PDF: 9 pages
Proc. SPIE 8183, High-Performance Computing in Remote Sensing, 81830S (12 October 2011); doi: 10.1117/12.901826
Show Author Affiliations
Jarno Mielikainen, Univ. of Wisconsin-Madison (United States)
Bormin Huang, Univ. of Wisconsin-Madison (United States)
Allen H.-L. Huang, Univ. of Wisconsin-Madison (United States)
Mitchell D. Goldberg, National Oceanic and Atmospheric Administration (United States)

Published in SPIE Proceedings Vol. 8183:
High-Performance Computing in Remote Sensing
Bormin Huang; Antonio J. Plaza, Editor(s)

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