Title | Category | Tags | Skill Level |
---|---|---|---|
Examples of Thrust code for GPU Parallelization | Learning | cuda, parallelization, gpus | Beginner |
Thrust resources | Learning | parallelization, gpus, parallelism, performance, resources | Beginner, Intermediate |
Project Title | Project Institution | Project Owner | Tags | Status |
---|---|---|---|---|
Unsupervised learning of topologically ordered phases of matter | Middlebury College | Northeast Cyberteam | gpus, HPC, Quantum-Mechanics, Machine-Learning | Finishing Up |
Creating Tailored Research Computing Environments | Bentley University | David Oury | big data, cpus, gpus, parallelization, resources, containers, docker, Machine-Learning, python, r | Complete |
Machine learning for material property prediction | University of Maine Orono | Northeast Cyberteam | gpus, computational chemistry, Machine-Learning, python | In Progress |
Multiscale HPC Modeling, Tutorials and examples | University of Maine | Northeast Cyberteam | data handling, gpus, mpi, distributed computing, visualization, HPCs | In Progress |
Name | Region | Skills | Interests |
---|---|---|---|
Adrian Del Maestro | Northeast | ||
Brian Haymore | RMACC | ||
Chris Carothers | CAREERS | ||
Thomas Cheatham | RMACC | ||
Grant Scott | Great Plains | ||
Gil Speyer | RMACC | ||
Matthew Moseley | Kentucky | ||
Gaurav Khanna | CAREERS, Northeast | ||
Brian Gregor | Northeast | ||
Jeff Dusenberry | Northeast | ||
Shaohao Chen | Northeast | ||
Shawn Doughty | Northeast |