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Mentors and Regional Facilitators
Name Region Skills Interests
Adam Carlson Campus Champions
Aaron Jezghani Campus Champions
Anita Schwartz Campus Champions
Andrew Sherman ACCESS CSSN, Campus Champions, CAREERS
Brian Gregor Northeast, Campus Champions
Kevin Bryan Campus Champions
Craig Gross Campus Champions
Cody Stevens Campus Champions, CCMNet
Cesar Sul ACCESS CSSN, Campus Champions
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Daniel Howard RMACC, Campus Champions, ACCESS CSSN, CCMNet
Darshan Sarojini ACCESS CSSN, Campus Champions
Elie Alhajjar ACCESS CSSN, CCMNet
Eden Furtak-Cole Campus Champions
Eric Brown Great Plains, Northeast
Fernando Garzon ACCESS CSSN
George Young CAREERS
Gaurav Khanna Campus Champions, CAREERS, Northeast
Gil Speyer ACCESS CSSN, RMACC, Campus Champions
Iman Rahbari Campus Champions, ACCESS CSSN
Yu-Chieh Chi Campus Champions
Jason Wells ACCESS CSSN, Campus Champions
Jason Yalim Campus Champions
Kenneth Bundy CAREERS
Lakitha Wijeratne TRECIS
Mohsen Ahmadkhani CCMNet, ACCESS CSSN
Martin Cuma RMACC, Campus Champions
Michael Puerrer Campus Champions, Northeast
Jeffrey J. Nuc… CAREERS
Justin Oelgoetz Campus Champions
Rebecca Belshe Campus Champions, CCMNet
Mike Renfro Campus Champions, CCMNet
Shaohao Chen Northeast
Sebastian Sensale Campus Champions
Swabir Silayi Campus Champions
Tyler Burkett Kentucky
Xiaoge Wang Campus Champions

Affinity Groups

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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

Jason Wells

Harvard University

Programs

ACCESS CSSN, Campus Champions

Roles

research computing facilitator, cssn

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Expertise

Gaurav Khanna

University of Rhode Island

Programs

Campus Champions, CAREERS, Northeast

Roles

mentor, regional facilitator, researcher/educator, research computing facilitator, Affinity Group Leader, steering committee

Expertise

alex Gutierrez

California State University-Los Angeles

Programs

ACCESS CSSN

Roles

student-facilitator

Profile Photo

Expertise

People with Interest

Cesar Sul

University of Southern California

Programs

ACCESS CSSN, Campus Champions

Roles

mentor, research computing facilitator

Picutre of Cesar Sul

Interests

Parameshwaran Pasupathy

Rutgers University - New Brunswick

Programs

ACCESS CSSN, CAREERS

Roles

student-facilitator

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Interests

Nithila Arunkumar

Rutgers Institution

Programs

CAREERS

Roles

student-facilitator

Placeholder headshot

Interests