- The Rensselaer IDEA Compute Cluster is a high performance computing environment with five Intel Xeon and two AMD compute servers in various configurations ranging from 24-40 cores (48-80), 256GB-1TB RAM, and up to four GPUs per machine (Tesla K40m or Titan RTX). The IDEA Cluster includes two dedicated storage servers totaling more than 40TB of usable space.
- RCS credentials and VPN are required
- Email John Erickson for access privileges: 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 Studio:
- idea-node-01: http://lp01.idea.rpi.edu/rstudio-ose/
- idea-node-03: http://lp01.idea.rpi.edu/rstudio-ose-3/
- idea-node-06: https://lp01.idea.rpi.edu/rstudio-ose-6/
- idea-node-07: https://lp01.idea.rpi.edu/rstudio-ose-7/
- Jupyter:
- idea-node-02: https://bit.ly/idea-jupyter-02
- idea-node-05: https://bit.ly/idea-jupyter-05
- idea-node-06: https://lp01.idea.rpi.edu/hub06/
- idea-node-07: https://lp01.idea.rpi.edu/hub07/
- RStudio Studio:
- 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, 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 R users new to Linux
- R Tutorial: Intro to RStudio Server on the IDEA Cluster
- Navigating the Linux File System via the RStudio Terminal Tab
- Git usage "cheat sheet"
- Git Basics (minimal tutorial)
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