Position paper on high performance computing needs in earth system prediction
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Author
Carman, Jessie
Clune, Thomas
Giraldo, Francis
Govett, Mark
Gross, Brian
Kamrath, Anke
Lee, Tsengdar
McCarren, David
Michalakes, John
Sandgathe, Scott
Whitcomb, Tim
Date
2017Metadata
Show full item recordAbstract
The United States experiences some of the most severe weather on Earth. Extreme weather or climate
events - such as hurricanes, tornadoes, flooding, drought, and heat waves - can devastate communities
and businesses, cause loss of life and property, and impact valuable infrastructure and natural resources. The number and severity of extreme weather and climate events in the U.S. has risen
since 1980, and is projected to continue rising this century. Growing populations in vulnerable areas create increased risks. If current trends continue, damages from extreme weather and climate events could grow four-fold by 2050.
Predictions and projections of weather and extreme events across time scales from weather to
climate rely on sophisticated numerical models running on High Performance Computing (HPC) systems,
which press the frontier of the Nation’s HPC capability. The Nation’s Earth system modeling community has a unique set of HPC requirements which differ from industry needs. Typically, HPC advances are measured using computational peak performance metrics that are ill-suited to Earth system modeling applications. We advocate for a shift in processor design to increase emphasis on memory bandwidth, so Earth system models run more efficiently and better serve the public need.
Description
The article of record as published may be found at http://dx.doi.org/10.7289/V5862DH3
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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