Skip to main content

performance-tuning

Mentors and Regional Facilitators
Name Region Skills Interests
Aaron Jezghani Campus Champions
Christopher Bl… Campus Champions
Daniel Howard RMACC, Campus Champions, ACCESS CSSN
Edwin Posada Campus Champions
Jason Wells ACCESS CSSN, Campus Champions
Jason Yalim Campus Champions
Katia Bulekova ACCESS CSSN, Campus Champions, CAREERS, Northeast
Nicholas Danes Campus Champions, MINES
Justin Oelgoetz Campus Champions
Paul Rulis Campus Champions
Ron Rahaman Campus Champions
Sean Anderson Campus Champions
Xiaoqin Huang ACCESS CSSN

Affinity Groups

There are no Affinity Groups associated with this topic. View All Affinity Groups.

Announcements

There are no announcements with this tag. View All Announcements.

Upcoming Events & Trainings

No events or trainings are currently scheduled.

Topics from Ask.CI

Loading topics from Ask.CI ...

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

Placeholder headshot

Expertise

Joseph Antonucci

New Jersey Institute of Technology

Programs

CAREERS

Roles

student-facilitator

Expertise

c
+13 more tags

Paul Rulis

University of Missouri-Kansas City

Programs

Campus Champions

Roles

researcher/educator, research computing facilitator

Paul Rulis

Expertise

People with Interest

Xiaoyi Lu

University of California, Merced

Programs

ACCESS CSSN

Roles

cssn

Placeholder headshot

Interests

Wirawan Purwanto

Old Dominion University

Programs

Campus Champions, Northeast, ACCESS CSSN

Roles

mentor, research computing facilitator, cssn

Placeholder headshot

Interests

Doug Heckman

Rochester Institute of Technology

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Interests