GPU Acceleration of the Horizontal Diffusion Method in the Weather Research and Forecasting (WRF) Model

Ronald M. Gualán Saavedra, Lizandro D. Solano-Quinde, Brett M. Bode

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Weather Research and Forecasting (WRF) is a next-generation mesoscale numerical weather prediction system. It is designed with a dual purpose, forecasting and research. The WRF software infrastructure consists of a number of components such as dynamic solvers and physical simulation modules. Dynamic solvers are intensive computational components of the WRF model. In this paper, the Horizontal Diffusion method, which is part of the ARW (Advanced Research WRF) dynamic solver, is accelerated using GPUs. The performance of the GPU-based method was compared to that one of a CPU-based single-threaded counterpart on a computational domain of 433x308 horizontal grid points with 35 vertical levels. Thus, the achieved speedup is 19x on a NVIDIA Tesla M2090, without considering data I/O.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
EditorsAlberto Sanchez, Carlos Monsalve, Zenon Chaczko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages284-289
Number of pages6
ISBN (Electronic)9781479975884
DOIs
StatePublished - Oct 1 2015
EventAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Pichincha, Ecuador
Duration: Jul 14 2015Jul 16 2015

Publication series

NameProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015

Other

OtherAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
CountryEcuador
CityQuito, Pichincha
Period7/14/157/16/15

Keywords

  • Compute Unified Device Architecture (CUDA)
  • Dynamic Solver
  • GPGPU
  • Graphics Processing Unit (GPU)
  • Horizontal Diffusion method
  • Weather Research and Forecasting (WRF) model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

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