GPU acceleration of WRF WSM5 microphysics

Jarno Mielikainen; Bormin Huang; Allen H.-L. Huang; Mitchell D. Goldberg

doi:10.1117/12.901826

12 October 2011 GPU acceleration of WRF WSM5 microphysics

Jarno Mielikainen, Bormin Huang, Allen H.-L. Huang, Mitchell D. Goldberg

Author Affiliations +

Proceedings Volume 8183, High-Performance Computing in Remote Sensing; 81830S (2011) https://doi.org/10.1117/12.901826
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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.

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Jarno Mielikainen, Bormin Huang, Allen H.-L. Huang, and Mitchell D. Goldberg "GPU acceleration of WRF WSM5 microphysics", Proc. SPIE 8183, High-Performance Computing in Remote Sensing, 81830S (12 October 2011); https://doi.org/10.1117/12.901826

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