Cybershuttle expertly balances local and remote computing, seamlessly orchestrating tasks and data between machines. Schedule time-sensitive, small tasks locally, and reserve compute-intensive tasks for powerful remote HPC resources, with data transparently accessible everywhere. This approach significantly enhances the efficiency of scientific workflows compared to fully remote or fully local operations.
User
Productivity
Enable individual researchers to provide an individual view into research computing resources at all scales
Extensibility &
Collaborations
Instead of learning from scratch, modify an existing experiment and run it through CyberShuttle
Third-Party App
Integrations
Access to synchronized cloud tools to gain deeper insights from the data
Reproducible
Computations
Shared associated data and experiments captured in the system generating quick results
We create and integrate tailored science extensions to optimize workflows and meet domain-specific requirements through collaboration with experts.
Discover how Cybershuttle effortlessly automates simulations and protein structure predictions.
View DetailsExplore how Cybershuttle streamlines neuroscience simulations and data analysis with ease.
View DetailsStay tuned as we implement Cybershuttle in more domains like engineering, quantum chemistry, and geosciences.
Georgia Tech
University
Indiana University
University of Illinois
Urbana-Campaign
University of
California San Diego
Allen Institute for
Brain Sciences
Cybershuttle is supported by the
National
Science Foundation (NSF)
under the following grants
National Science Foundation