DocumentCode :
2764804
Title :
Running the NIM Next-Generation Weather Model on GPUs
Author :
Govett, M. ; Middlecoff, J. ; Henderson, T.
Author_Institution :
NOAA Earth Syst. Res. Lab., Boulder, CO, USA
fYear :
2010
fDate :
17-20 May 2010
Firstpage :
792
Lastpage :
796
Abstract :
We are using GPUs to run a new weather model being developed at NOAA´s Earth System Research Laboratory (ESRL). The parallelization approach is to run the entire model on the GPU and only rely on the CPU for model initialization, I/O, and inter-processor communications. We have written a compiler to convert Fortran into CUDA, and used it to parallelize the dynamics portion of the model. Dynamics, the most computationally intensive part of the model, is currently running 34 times faster on a single GPU than the CPU. We also describe our approach and progress to date in running NIM on multiple GPUs.
Keywords :
computer graphic equipment; coprocessors; geophysics computing; parallelising compilers; weather forecasting; CPU; CUDA; ESRL; Earth System Research Laboratory; Fortran; GPU; NIM dynamics; NOAA; compiler; inter processor communication; weather prediction model; Atmospheric modeling; Demand forecasting; Earth; High performance computing; Laboratories; Power system modeling; Power system reliability; Predictive models; USA Councils; Weather forecasting; GPU; Graphics Processors; High Performance Computing; Weather Prediction Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-6987-1
Type :
conf
DOI :
10.1109/CCGRID.2010.106
Filename :
5493385
Link To Document :
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