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- Knowledge Base
- Research Computing
- Computing Cluster(s)
Uploading files to compute resources can be accomplished using command line tools such as SCP or Secure File Transfer tools such as Web Transfer tools such as Globus Online, Windows File Explorer, and OnDemand.
- Knowledge Base
- Research Computing
- Computing Cluster(s)
SBATCH Script is a way to submit jobs on Koko. These jobs can be done with SRUN and SBATCH scripts. Click here to read more.
- Knowledge Base
- Research Computing
All Florida Atlantic University faculty, researchers, employees, and students may request access to the research computing resources using the following complimentary and paid research computing resources.
- Knowledge Base
- Research Computing
- REDCap
FAQs
- Knowledge Base
- Research Computing
- Resources
As part of the strategy to make Florida Atlantic University a top-tier research university, the Office of Information Technology (OIT) strives to provide the experience and technology to support cutting-edge education and innovative scientific research. FAU plans to enhance and build the IT infrastructure across numerous campuses in support of these goals.
- Knowledge Base
- Research Computing
- Clouds
- Workstation as a Service
The Office of Information Technology Research Computing Team offers several Workstations as a Service Offerings.
- Knowledge Base
- Research Computing
- Clouds
- Code as a Service
- GitLab
A brief summary of using .gitlab-ci.yml to deploy and store containers in the gitlab registry.hpc.fau.edu system.
- Knowledge Base
- Research Computing
- Computing Cluster(s)
Fluent is a fluid simulation software. There are multiple methods of using Fluent interactively. Click here to read more.
- Knowledge Base
- Research Computing
- Computing Cluster(s)
Open OnDemand helps computational researchers and students efficiently utilize remote computing resources by making them easy to access from any device. It simplifies user interface and experience.
- Knowledge Base
- Research Computing
- Resources
Acknowledging High Performance Computing