Accessing the IDEA Cluster (Mar 2022)

The Rensselaer IDEA Compute Cluster provides five compute nodes (4x 48 cores, 1x 80 cores, 1x storage server)
- RCS credentials and VPN required
- Email John Erickson for access: erickj4@rpi.edu
Student 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)
Web links to RStudio and Jupyter GUIs:
- RStudio on idea-node-01: http://lp01.idea.rpi.edu/rstudio-ose/
- RStudio on idea-node-03: http://lp01.idea.rpi.edu/rstudio-ose-3/
- Jupyter on idea-node-02: https://bit.ly/idea-jupyter-02
- Jupyter on idea-node-05: https://bit.ly/idea-jupyter-05
- GUI access to MATLAB possible via port forwarding; command line recommended! (Contact John Erickson)
- Linux terminal accessible from within RStudio "Terminal" or via ssh (below)
Shared Data on the 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 your_rcs@lp01.idea.rpi.edu, then ssh idea-node-XX
- For example:
  1. ssh erickj4@lp01.idea.rpi.edu
  2. Then, ssh idea-node-02 (to access "Node 02," a GPU node)

Help for R users new to Linux

Help for IDEA Cluster Python Users

See: Working with Python3 on the IDEA Cluster (pdf) (revised Mar 2022)
See: Server Notes for Capstone Users (pdf) (especially helpful for cleaning up your processes!)(Mar 2022)

Help for General IDEA Cluster Issues

Send an email to: itssc@support.rpi.edu
Include "IDEA Cluster" in the Subject heading
CC John Erickson erickj4@rpi.edu

Contact John Erickson for details! erickj4@rpi.edu

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