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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

Xiaoge Wang

Michigan State University

Programs

Campus Champions

Roles

research computing facilitator

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Expertise

c
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Rohit K S S Vuppala

Oklahoma State University

Programs

Campus Champions

Roles

student champion

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Expertise

Yongan Tang

North Carolina Central University

Programs

Campus Champions, CCMNet

Roles

cssn, CCMNet

NCCU

Expertise

People with Interest

Ana Marija Sokovic

University of Illinois at Chicago

Programs

CCMNet

Roles

CCMNet

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Interests

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Paul Rulis

University of Missouri-Kansas City

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Paul Rulis

Interests

Widodo Samyono

Jarvis Christian College

Programs

Campus Champions, CCMNet

Roles

researcher/educator, research computing facilitator, CCMNet

Widodo Samyono, PhD in Computational and Applied Mathematics

Interests