| 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 |