Name | Region | Skills | Interests |
---|---|---|---|
Daniel Howard | ACCESS CSSN, Campus Champions, CCMNet, RMACC | ||
Eden Furtak-Cole | Campus Champions | ||
Ron Rahaman | Campus Champions | ||
Xiaoge Wang | Campus Champions |
Title | Category | Tags | Skill Level |
---|---|---|---|
Neurostars | Website | documentation, image-processing, data-sharing, psychology | Beginner, Intermediate, Advanced |
Paraview UArizona HPC links (advanced) | Docs | visualization | Intermediate, Advanced |
A guide to pip in Python | Learning | pip, software-installation | Beginner, Intermediate |
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.
Georgia Institute of Technology
Campus Champions
research software engineer
Queens borough community college
CAREERS
student-facilitator, research computing facilitator, mentee
Yale University
ACCESS CSSN, Campus Champions, CAREERS
mentor, research computing facilitator, steering committee, Match SC