Name | Region | Skills | Interests |
---|---|---|---|
Andrew Sherman | ACCESS CSSN, Campus Champions, CAREERS | ||
Michael Blackmon | Campus Champions, ACCESS CSSN | ||
Brian Haymore | RMACC, Campus Champions | ||
Chris Carothers | CAREERS | ||
Christopher Bl… | Campus Champions | ||
Cody Stevens | Campus Champions, CCMNet | ||
Daniel Howard | ACCESS CSSN, Campus Champions, CCMNet, RMACC | ||
Edwin Posada | Campus Champions | ||
Fan Chen | ACCESS CSSN | ||
Gaurav Khanna | Campus Champions, CAREERS, Northeast | ||
Gil Speyer | ACCESS CSSN, RMACC, Campus Champions | ||
Yu-Chieh Chi | Campus Champions | ||
Jason Wells | ACCESS CSSN, Campus Champions | ||
Katia Bulekova | ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Northeast | ||
Kenneth Bundy | CAREERS | ||
Lonnie Crosby | Campus Champions, ACCESS CSSN | ||
Mohsen Ahmadkhani | CCMNet, ACCESS CSSN | ||
Michael Puerrer | Campus Champions, Northeast | ||
Ron Rahaman | Campus Champions | ||
Grant Scott | Great Plains | ||
Xiaoqin Huang | ACCESS CSSN | ||
Shaohao Chen | Northeast | ||
Swabir Silayi | ACCESS CSSN, CCMNet, Campus Champions | ||
Shawn Sivy | Campus Champions, CAREERS | ||
Tyler Burkett | Kentucky |
Logo | Name | Description | Tags | Join |
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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… | Login to join |
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 |
Cornell Virtual Workshop | Learning | jetstream, stampede2, cloud-computing, data-analysis, performance-tuning, parallelization, file-transfer, globus, slurm, training, cuda, matlab, python, r, mpi | Beginner, Intermediate, Advanced |
Examples of Thrust code for GPU Parallelization | Learning | parallelization, gpu, cuda | Intermediate, Advanced |
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.
Yale University
ACCESS CSSN, Campus Champions, CAREERS
mentor, research computing facilitator, steering committee, Match SC
University of Vermont
Northeast
student-facilitator, researcher/educator
University of Utah
RMACC, Campus Champions
mentor, research computing facilitator
Old Dominion University
Campus Champions, Northeast, ACCESS CSSN
mentor, research computing facilitator, cssn
University Corporation for Atmospheric Research
ACCESS CSSN, Campus Champions, CCMNet, RMACC
mentor, research computing facilitator, research software engineer, CCMNet