Running the NIM Next-Generation Weather Model on GPUs

Authors:
Mark W. Govett;Jacques Middlecoff;Tom Henderson
Affiliations:
-;-;-
Venue:
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Year:
2010

Citing 2
Cited 5

Eli: a complete, flexible compiler construction system

Communications of the ACM
The scalable modeling system: directive-based code parallelization for distributed and shared memory computers

Parallel Computing

Modeling chaotic storms

Communications of the ACM
MCore: A non-hydrostatic atmospheric dynamical core utilizing high-order finite-volume methods

Journal of Computational Physics
Multi-GPU implementation of the NICAM atmospheric model

Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
Progress towards accelerating HOMME on hybrid multi-core systems

International Journal of High Performance Computing Applications
GPU acceleration of the WSM6 cloud microphysics scheme in GRAPES model

Computers & Geosciences

Quantified Score

Hi-index	0.02

Visualization

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.