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Running The Nim Next-generation Weather Model On Gpus

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.

Article / Publication Data
Active/Online
YES
ISBN
978-1-4244-6987-1
Available Metadata
DOI ↗
Fiscal Year
Published On
May 01, 2010
Final Online Publication On
May 01, 2010
Publisher Name
Ieee
Page Range
792 - 796
Type
URL ↗
Event

This publication was presented at the following:

Title
Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on
Type
Conference presentation

Institutions

Not available

Authors

Authors who have authored or contributed to this publication.

Not available