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Knowledge Base Resources

Engagements

GPU-accelerated Ice Sheet Flow Modeling
University of North Dakota

Sea levels are rising (3.7 mm/year and increasing!)! The primary contributor to rising sea levels is enhanced polar ice discharge due to climate change. However, their dynamic response to climate change remains a fundamental uncertainty in future projections. Computational cost limits the simulation time on which models can run to narrow the uncertainty in future sea level rise predictions. The project's overarching goal is to leverage GPU hardware capabilities to significantly alleviate the computational cost and narrow the uncertainty in future sea level rise predictions. Solving time-independent stress balance equations to predict ice velocity or flow is the most computationally expensive part of ice-sheet simulations in terms of computer memory and execution time. The PI developed a preliminary ice-sheet flow GPU implementation for real-world glaciers. This project aims to investigate the GPU implementation further, identify bottlenecks and implement changes to justify it in the price to performance metrics to a "standard" CPU implementation. In addition, develop a performance portable hardware (or architecture) agnostic implementation.

Status: Complete

People with Expertise

Micholas Smith

University of Tennessee, Knoxville

Programs

ACCESS CSSN

Roles

cssn, CIP

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Expertise

Jeff Falgout

United States Geological Survey

Programs

Campus Champions, RMACC

Roles

research computing facilitator, ci systems engineer

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Expertise

Daniel Howard

University Corporation for Atmospheric Research

Programs

RMACC, Campus Champions, ACCESS CSSN, CCMNet

Roles

mentor, research computing facilitator, research software engineer, CCMNet

Daniel Howard headshot

Expertise

c
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People with Interest

Matthew Chung

University of California, Riverside

Programs

ACCESS CSSN, CCMNet

Roles

student-facilitator, cssn, CCMNet

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Interests

Paul Hoover

University of California, San Diego

Programs

ACCESS CSSN

Roles

cssn, CIP

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Interests

David Warden

SUNY Geneseo

Programs

Campus Champions, CCMNet, ACCESS CSSN

Roles

research computing facilitator, cssn, CCMNet

black and white analog photo print portrait of David Warden in a darkroom processing tray

Interests