Affinity Groups

Logo Name Description Tags 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… expansecomposable-systemsgpu 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
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… affinity-groupcomputer-graphicsvisualization +3 more tags Login to join

Announcements

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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: Complete

People with Expertise

Abdul-Rashid Zakaria

Purdue University

Programs

CCMNet

Roles

CCMNet

Placeholder headshot

Expertise

+25 more tags

Shawn Doughty

Tufts University

Programs

Campus Champions, Northeast

Roles

mentor, research computing facilitator

Placeholder headshot

Expertise

Xiaoqin Huang

Rice University

Programs

ACCESS CSSN

Roles

mentor, research computing facilitator, research software engineer, cssn

xqhuang at Rice

Expertise

People with Interest

David Warden

SUNY Geneseo

Programs

Campus Champions, CCMNet, ACCESS CSSN

Roles

research computing facilitator, cssn, CCMNet

black and white analog photo print portrait of David Warden in a darkroom processing tray

Interests

Brian Haymore

University of Utah

Programs

Campus Champions, RMACC

Roles

mentor, research computing facilitator, ci systems engineer

Brian Haymore

Interests

+66 more tags

Devin Bayly

University of Arizona

Programs

ACCESS CSSN, Campus Champions, CCMNet

Roles

research computing facilitator, Affinity Group Leader, CCMNet

User

Interests