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GPU-accelerated ice sheet flow modeling
Anjali Sandip
University of North Dakota
Status: In Progress

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.

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Title Date Time Tags Affinity Group
GPU Computing and Programming on Expanse 10/26/2023 2:00 PM EDT - 3:00 PM EDT programming

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Nihar Biradar

Rutgers University

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Michael Blackmon

Davidson College

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student-facilitator, research computing facilitator, ci systems engineer

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Adedeji Adekunle

Rutgers University, Camden

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Keidy Alcantara

New Jersey Institute of Technology

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Joseph Antonucci

New Jersey Institute of Technology

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