How to Use RCC Cluster

how_to
Published

July 30, 2020

Updated RCC documentation

https://rcc-uchicago.github.io/user-guide/

RCC account

Please follow the instruction to request your RCC account: General RCC User Account Request 

PI Account Name: pi-haky
Rcc Software: R, RStudio, Python, Python
Rcc Research: My main research goal is to perform biomedical big data analysis and 
develop computation tools to address a wide range of important biomedical research questions.

Login

  • Type ssh YOUR_CNetID@midway.rcc.uchicago.edu
  • Type in your password when prompted
  • Type yes if you are prompted to accept a key

Note: A shortcut to login your RCC account, please follow the instruction: How-to-set-up-SSH-keys-and-configure-custom-connection-options-for-your-SSH-Client

Accessing your RCC account From a MAC

Please follow the instructions to access /project/haky/ from the University of Chicago’s Network: - Open Finder - Go to menu option Go -> Connect to Server - Type smb://midwaysmb.rcc.uchicago.edu/project/haky - Make sure to prefix your username with ADLOCAL if from off-campus

Storing your data

Storage Space: /cds/haky directory is used for long term data storage at a cheaper price. This storage space is not optimized for computation.

Tarbell Lab Share-like Space: /project/haky directory is used to store lab data or persistent job outputs. Please create your own folder under the directory /project/haky/im-lab/nas40t2. Please perform regular maintenance by removing unneeded data.

For more detail, please read RCC User Guide

ThinLinc and RStudio access

  • https://midway-login1.rcc.uchicago.edu/main/
  • https://rstudio.rcc.uchicago.edu/auth-sign-in

RCC contact

Questions and issues should be sent to help@rcc.uchicago.edu or 773-795-2667.

Reuse

© HakyImLab and Listed Authors - CC BY 4.0 for Text and figures - MIT for code