CCR Research Computing Documentation¶

The Center for Computational Research (CCR) at the University at Buffalo is a high-performance research computing center offering faculty, staff, students, and local businesses access to supercomputing environments, high-end visualization services, an on-premise research cloud infrastructure, and experienced staff to help you move your research forward.

This documentation covers the use of CCR's research computing and research cloud resources. More general information about CCR can be found on our website. Information about CCR support services can be found here.

What do you want to do?¶

These links provide info on the most popular topics while the left navigation provides the full documentation organized by topics. You can also use the search box at the top left for context searching.

• Getting Access
• Getting Started - Once you Have Access
• Frequently Asked Questions (FAQ)
• Contact CCR Help
• Resources Provided by CCR
• Logging in to:
  • HPC clusters via SSH
  • HPC clusters via OnDemand
  • Cloud dashboard
  • Other portals & services: see portal menu on the left
• Research Computing (HPC) Specific Topics:
  • Batch Job System
  • Data Transfer Options
  • Linux and Slurm Cheat Sheet
  • Available Software
  • Compiling Software
  • Clusters
• Research Cloud Specific Topics:
  • LakeEffect Cloud Quick Start
  • Cloud Subscription Costs
  • Detailed info on Utilizing the Cloud

If you have any questions, please contact CCR Help

Acknowledgments¶

• We greatly appreciate the generosity of the staff at the University of Colorado - Boulder's Research Computing department who allowed us to use much of their outstanding documentation here at CCR. Organizing and writing technical documentation is time consuming and difficult but they've graciously shared their work product with us saving us countless hours and headaches. Thank you CURC!
• Portions of our documentation were adopted from:
  • Digital Research Alliance of Canada
  • Yale Center for Research Computing
  • Consortium des Équipements de Calcul Intensif
• CCR's software infrastructure was adopted from the work done by Compute Canada and the European Environment for Scientific Software Installations (EESSI)
• Lmod written by the Texas Advanced Computing Center (TACC)