Accessing the IDEA Cluster (Jan 2021)

IDEA Cluster Image
  • The Rensselaer IDEA Compute Cluster provides five compute nodes (4x 48 cores, 1x 80 cores, 1x storage server)
    • RCS credentials required
      • email John Erickson for access:
      • Students of IDEA-sponsored courses (e.g. MATP-4400, MATP-4900) are automatically added for the term of the course
    • The Cluster provides access to: RStudio, Jupyter, Python, MATLAB, GPUs (on Nodes 2 and 5); lots of storage and computes
    • Access via the RPI physical network or VPN required
    • Priority is given to IDEA researchers and students in IDEA-sponsored courses (e.g. MATP-4910, MATP-4400)
  • GUI (Web) links:
  • Shared Data on Cluster:
    • All idea_users have access to shared storage via /data ("data" in your home directories)
    • Permissions are best managed via the Linux terminal (see above)
  • Shell access to individual nodes: You must access "landing pad" first, then a specific compute node:
    • ssh, then ssh idea-node-XX
    • For example:
      1. ssh
      2. Then, ssh idea-node-02 (to access "Node 02," a GPU node)

Help for IDEA Cluster Python Users

Contact John Erickson for details!