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Mentors and Regional Facilitators
Name Region Skills Interests
Adrian Del Maestro Northeast
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
Edwin Posada Campus Champions
Gaurav Khanna Campus Champions, CAREERS, Northeast
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
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
Gil Speyer RMACC, Campus Champions
Sumit Saluja Campus Champions
Shawn Sivy Campus Champions, CAREERS
Tyler Burkett Kentucky
Thomas Cheatham Campus Champions, RMACC
Trey Breckenridge Campus Champions
Users
Name Roles Skills Interests
Grant Scott
mentor
steering committee
Projects
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Affinity Groups

Logo Name Description Tags Join
AI Institutes Cyberinfrastructure Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. Login to join
FASTER Fostering Accelerated Scientific Transformations, Education, and Research (FASTER) is a NSF-MRI-funded cluster (award number 2019129) that offers state of the art CPUs, GPUs, and NVMe (Non-Volatile… 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

Topics from Ask.CI

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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

Shawn Sivy

The College of New Jersey

Programs

Campus Champions, CAREERS

Roles

research computing facilitator, ci systems engineer

Expertise

+34 more tags

Brian Gregor

Boston University

Programs

Northeast, Campus Champions

Roles

mentor, research computing facilitator

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Expertise

Brian Haymore

University of Utah

Programs

RMACC, Campus Champions

Roles

mentor, research computing facilitator

Expertise

+41 more tags

People with Interest

William Lai

Cornell University

Programs

ACCESS CSSN

Roles

mentor, researcher/educator, research computing facilitator, research software engineer, ci systems engineer, Consultant

William KM Lai

Interests

DooSoo Yoon

University of Iowa

Programs

Campus Champions

Roles

research computing facilitator

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Interests

Dung Vu

California State University-San Bernardino

Programs

ACCESS CSSN, Campus Champions

Roles

research computing facilitator, CIP

Placeholder headshot

Interests