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Mentors and Regional Facilitators
Name Region Skills Interests
Adrian Del Maestro Northeast
Devin Bayly ACCESS CSSN, Campus Champions, CCMNet
Brian Gregor Northeast, Campus Champions
Ben Lynch Campus Champions
Brian Haymore RMACC, Campus Champions
Charles Forsyth Campus Champions
Chris Carothers CAREERS
Christopher Bl… Campus Champions
Cody Stevens Campus Champions, CCMNet
Deborah Penchoff Campus Champions
Edwin Posada Campus Champions
Fan Chen ACCESS CSSN
Gaurav Khanna Campus Champions, CAREERS, Northeast
Gil Speyer ACCESS CSSN, RMACC, Campus Champions
Jeff Dusenberry Northeast, Campus Champions
Jeff Falgout Campus Champions, RMACC
Jordan Hayes Campus Champions
Jason Wells ACCESS CSSN, Campus Champions
Katia Bulekova ACCESS CSSN, Campus Champions, CAREERS, Northeast, CCMNet
Matthew Moseley Kentucky
Paul Rulis Campus Champions
Rebecca Belshe Campus Champions, CCMNet
Ron Rahaman Campus Champions
Grant Scott Great Plains
Shawn Doughty Campus Champions, Northeast
Xiaoqin Huang ACCESS CSSN
Shaohao Chen Northeast
Steven Kuhlo TRECIS
Sumit Saluja Campus Champions
Shawn Sivy Campus Champions, CAREERS
Tyler Burkett Kentucky
Thomas Cheatham Campus Champions, RMACC
Trey Breckenridge Campus Champions

Affinity Groups

Logo Name Description Tags Join
Jetstream-2 Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… Login to join
Expanse Expanse is a dedicated ACCESS cluster designed by Dell and SDSC delivering 5.16 peak petaflops, and will offer Composable Systems and Cloud Bursting. Expanse's standard compute nodes are each… Login to join
High Performance Visualization This group first and foremost is a space for those experimenting and learning to leverage High Performance Compute environments for visualization. To be a part of this community you don't need to be… Login to join

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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

Tyler Burkett

University of Kentucky

Programs

Kentucky

Roles

ci systems engineer

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Expertise

c
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Shaohao Chen

Massachusetts Institute of Technology

Programs

Northeast

Roles

mentor

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Expertise

Ron Rahaman

Georgia Institute of Technology

Programs

Campus Champions

Roles

research software engineer

Ronald Rahaman

Expertise

People with Interest

Matthew Chung

University of California, Riverside

Programs

ACCESS CSSN, CCMNet

Roles

student-facilitator, cssn, CCMNet

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Interests

Morgan Newton

Santa Monica College

Programs

ACCESS CSSN

Roles

student-facilitator

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Interests

Ana Marija Sokovic

University of Illinois at Chicago

Programs

CCMNet

Roles

CCMNet

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Interests

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