Research Computing

Advancing research often requires computational resources that exceed the capabilities of personal laptops or desktop computers. Whether you're processing large datasets, performing complex analyses, or running simulations, efficient computing resources can drastically reduce your time to results and improve your research productivity.
Common scenarios where enhanced computing resources become essential include:

  • Computational tasks take too long:
    Tasks such as data analysis, simulations, modeling, or visualization can become computationally intensive. When your local resources are insufficient, leveraging High Performance Computing (HPC) clusters or cloud services allows tasks to complete in significantly less time.
  • One server is not enough:
    Complex research tasks often surpass the capabilities of a single computer. HPC clusters like Cypress and LONI combine multiple servers (nodes) into powerful computing environments that distribute workloads efficiently, enabling researchers to handle computational tasks far beyond the scope of a standard single-server setup.

Not sure which resource is best suited to your needs?
Reach out to our Technology Delivery Team—we’re ready to guide you through available options and get you up and running quickly.

 

Cypress

LONI

NSF ACCESS Resources

Microsoft Azure (Project based, fee-based)