Productive Performance Engineering for Weather and Climate Modeling with Python
Author:
Affiliation:
1. ETH Zürich,Department of Computer Science,Zürich,Switzerland,8092
2. Swiss National Supercomputing Centre (CSCS),Lugano,Switzerland,6900
3. Allen Institute for Artificial Intelligence,Seattle,Washington,USA,98103
Funder
Swiss National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10046045/10045783/10046105.pdf?arnumber=10046105
Reference48 articles.
1. Parallelization of the fv3 model for gpu and mic processors;govett;Third Symposium on High Performance Computing for Weather Water and Climate,2017
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4. Workflows are the New Applications: Challenges in Performance, Portability, and Productivity
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