Name | Region | Skills | Interests |
---|---|---|---|
Deborah Penchoff | Campus Champions | ||
Daniel Howard | ACCESS CSSN, Campus Champions, CCMNet, RMACC | ||
Darshan Sarojini | ACCESS CSSN | ||
Eden Furtak-Cole | Campus Champions | ||
Iman Rahbari | Campus Champions, ACCESS CSSN | ||
Jason Wells | ACCESS CSSN, Campus Champions | ||
Jason Yalim | Campus Champions | ||
Nicholas Danes | Campus Champions, MINES | ||
Sean Anderson | Campus Champions, CCMNet |
Title | Date |
---|---|
Ookami Webinar | 02/14/24 |
Open Call: Minisymposia for PASC24 | 10/05/23 |
Title | Category | Tags | Skill Level |
---|---|---|---|
Benchmarking with a cross-platform open-source flow solver, PyFR | Tool | finite-element-analysis, benchmarking, parallelization, github, fluid-dynamics, openmpi, c++, cuda, mpi | Intermediate |
Moving-Lid-Driven Flow Simulation by Finite Difference Method | Docs | fluid-dynamics | Intermediate |
PetIGA, an open-source code for isogeometric analysis | Docs | finite-element-analysis, documentation, fluid-dynamics, c | 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.
Arizona State University
Campus Champions
researcher/educator, research computing facilitator
Colorado School of Mines
Campus Champions, MINES
mentor, research computing facilitator
Rice University
ACCESS CSSN
mentor, research computing facilitator, research software engineer, cssn