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Mentors and Regional Facilitators
Name Region Skills Interests
Adrian Del Maestro Northeast
Aaron Jezghani Campus Champions
Andrew Sherman ACCESS CSSN, Campus Champions, CAREERS
Brian Gregor Northeast, Campus Champions
Michael Blackmon Campus Champions
Kevin Bryan Campus Champions
Christopher Bl… Campus Champions
David Oury Northeast
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Derek Strong Campus Champions
Fernando Garzon ACCESS CSSN
Gaurav Khanna Campus Champions, CAREERS, Northeast
Craig Gross Campus Champions
Ibrahim Sheikh CAREERS
Jordan Hayes Campus Champions
John Goodhue CAREERS, Northeast
Jason Yalim Campus Champions
Dean Karres Campus Champions
Keri Toksu Northeast, Campus Champions
Katherine Nelson Campus Champions, CAREERS, ACCESS CSSN
Kenneth Bundy CAREERS
Karen Tomko Campus Champions
Lauren Hill-Beaton CAREERS
shuai liu ACCESS CSSN
Martin Cuma RMACC, Campus Champions
Mohammadreza H… Campus Champions
Michael Puerrer Campus Champions, Northeast
Maryam Taeb
Nick Dusek Campus Champions
Neil McGlohon CAREERS
Justin Oelgoetz Campus Champions
Mark Perri Campus Champions
Paul Rulis Campus Champions
Ron Rahaman Campus Champions
Grant Scott Great Plains
Shawn Doughty Campus Champions, Northeast
Shane Sanders Campus Champions
Xiaoqin Huang ACCESS CSSN
Shaohao Chen Northeast
Spencer Pruitt Northeast
William Sanders Campus Champions
Swabir Silayi Campus Champions
Shawn Sivy Campus Champions, CAREERS
Scott Valcourt Northeast, Campus Champions
Seung Woo Son Northeast
Yun Shen CAREERS, Northeast, ACCESS CSSN
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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: Finishing Up

People with Expertise

Yun Shen

Boston University

Programs

CAREERS, Northeast, ACCESS CSSN

Roles

mentor

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Expertise

Nick Dusek

North Dakota State University

Programs

Campus Champions

Roles

research computing facilitator, ci systems engineer

Placeholder headshot

Expertise

Doruk Alp MUTLU

Michigan State University

Programs

ACCESS CSSN

Roles

student-facilitator

profile photo

Expertise

People with Interest

Paul Rulis

University of Missouri-Kansas City

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Paul Rulis

Interests

Aya Nawano

Yale University

Programs

CAREERS, ACCESS CSSN

Roles

research computing facilitator, cssn

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Interests

Morgan Newton

Santa Monica College

Programs

ACCESS CSSN

Roles

student-facilitator

Picture of Morgan Newton

Interests