
- 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: erickj4@rpi.edu
- 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)
- RCS credentials required
- GUI (Web) links:
- http://lp01.idea.rpi.edu/rstudio-ose/ or http://lp01.idea.rpi.edu/rstudio-ose-3/ (RStudio Server)
- http://lp01.idea.rpi.edu/jupyter/ or https://lp01.idea.rpi.edu/jupyter-gpu/
- 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 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
, thenssh idea-node-XX
- For example:
ssh erickj4@lp01.idea.rpi.edu
- Then,
ssh idea-node-02
(to access "Node 02," a GPU node)
Help for IDEA Cluster Python Users
Contact John Erickson for details! erickj4@rpi.edu