performance

Resources

Title	Category	Tags	Skill Level
Thrust resources	Learning	parallelization, gpus, parallelism, performance, resources	Beginner, Intermediate
HPC University	Learning	Compiling, debugging, r, python, mpi, matlab, CyberInfrastructure, performance, professional development	Beginner, Intermediate, Advanced, Expert

Projects

Project Title	Project Institution	Project Owner	Tags	Status
Parallel computing for interactions between fluids and flexible structures with application to suspended longline aquaculture farms	University of Maine	Northeast Cyberteam	parallelization, parallelism, performance, programming, mpi, matlab	Finishing Up
A GIS based model for wildlife conservation in Sri Lanka	Bridgewater State University	Thilina Surasinghe	mpi, networking, performance, python,	In Progress
C++/17/14 Migration of Path Integral Quantum Monte Carlo Software	University of Vermont	Adrian Del Maestro	HPC, SoftwareInstallation, Compiling, debugging, dependencies, performance, performance tuning, Simulations, Quantum-Mechanics, programming	Complete
Large-area Enhanced Forest Inventory modeled on 3-D Airborne Laser Scanning data	University of Maine	Northeast Cyberteam	data handling, parallelization, performance, programming,	Complete
Transient cooling of composite spherical moving droplet at high temperature with phase change and non-homogeneous boundary conditions	Western New England University	Jingru Benner	openfoam, batch jobs, job sizing, open on-demand, parallelism, Parametersweeps, performance, performance tuning, bash	In Progress

Students

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Mentors and Regional Facilitators

Name	Region	Skills	Interests
Adrian Del Maestro	Northeast
Anita Schwartz	CAREERS
Kaylea Nelson	CAREERS		acls Astrophysics bash batch jobs c++ Compiling conda Data-facing debugging distributed computing environment-modules gpfs HPC Getting Started job sizing linear programming mpi mpi open on-demand parallelism performance programming best practices Programming Languages and Software Support python Researcher-facing resources scheduling scripting slurm storage
Martin Cuma	RMACC		bash batch jobs c++ Compiling comsol conda containers cpus cuda debugging distributed computing environment-modules gpus hardware architecture job sizing matlab mpi ondemand open on-demand parallelism performance programming programming best practices python r rstudio-server scheduling scripting slurm SoftwareInstallation unix environment

Researchers and Educators

Name	Skills	Interests
Adrian Del Maestro

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