Affinity Groups

Logo Name Description Tags 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… fastertamucomposable-systems +1 more tags Login to 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… aimachine-learningjetstream +13 more tags Login to join
AI Institutes Cyberinfrastructure Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. aimachine-learninggpu +1 more tags Login to join

Topics from Ask.CI

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Knowledge Base Resources

Title Category Tags Skill Level
ACCESS HPC Workshop Series Learning deep-learningmachine-learningneural-networks +12 more tags Beginner, Intermediate
ACCESS KB Guide - Expanse Docs expansecomposable-systemsgpu Beginner, Intermediate, Advanced
ACES: Charliecloud Containers for Scientific Workflows (Tutorial) Learning ACESTAMUSCRATCH +10 more tags Beginner

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

Christopher Blanton, Ph.D.

North Carolina State University at Raleigh

Programs

Campus Champions

Roles

CampusChampionsAdmin, research computing facilitator, research software engineer

Photo of Christopher Blanton

Expertise

Brian Haymore

University of Utah

Programs

RMACC, Campus Champions

Roles

mentor, research computing facilitator

Expertise

+41 more tags

Cody Stevens

Wake Forest University

Programs

Campus Champions

Roles

regional facilitator, researcher/educator, research computing facilitator, ci systems engineer

Cody Stevens

Expertise

People with Interest

Ritesh Bachhar

University of Rhode Island

Programs

CAREERS

Roles

student-facilitator

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Interests

Matthew Chung

University of California, Riverside

Programs

ACCESS CSSN

Roles

student-facilitator, cssn

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Interests

Michael Strickler

Yale University

Programs

Campus Champions, CAREERS

Roles

mentor, research computing facilitator

Placeholder headshot

Interests