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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

Nicholas Danes

Colorado School of Mines

Programs

Campus Champions, MINES

Roles

mentor, research computing facilitator

Expertise

Darshan Sarojini

Virginia Polytechnic Institute and State University

Programs

ACCESS CSSN

Roles

mentor, researcher/educator

Portrait

Expertise

Deborah Penchoff

University of Tennessee - Knoxville

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Expertise

People with Interest

Andrew Rigg

Programs

CAREERS

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Interests

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Shawn Sivy

The College of New Jersey

Programs

Campus Champions, CAREERS

Roles

research computing facilitator, ci systems engineer

Interests

Daniel Howard

University Corporation for Atmospheric Research

Programs

ACCESS CSSN, Campus Champions, CCMNet, RMACC

Roles

mentor, research computing facilitator, research software engineer, CCMNet

Daniel Howard headshot

Interests