Oscar
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  • Overview
  • Quickstart
  • Getting Started
  • System Hardware
  • Account Information
  • Short "How to" Videos
  • Quick Reference
    • Common Acronyms and Terms
    • Managing Modules
    • Common Linux Commands
  • Getting Help
    • ❓FAQ
  • Citing CCV
  • CCV Account Information
  • Student Accounts
  • Offboarding
  • Connecting to Oscar
    • SSH (Terminal)
      • SSH Key Login (Passwordless SSH)
        • Mac/Linux/Windows(PowerShell)
        • Windows(PuTTY)
      • SSH Configuration File
      • X-Forwarding
      • SSH Agent Forwarding
        • Mac/Linux
        • Windows (PuTTY)
      • Arbiter2
    • Open OnDemand
      • Using File Explorer on OOD
      • Web-based Terminal App
      • Interactive Apps on OOD
      • Using Python or Conda environments in the Jupyter App
      • Using RStudio
      • Desktop App (VNC)
    • SMB (Local Mount)
    • Remote IDE (VS Code)
      • From Non-compliant Networks (2-FA)
      • Setup virtual environment and debugger
  • Managing files
    • Oscar's Filesystem
    • Transferring Files to and from Oscar
    • Transferring Files between Oscar and Campus File Storage (Replicated and Non-Replicated)
    • Resolving quota issues
      • Understanding Disk Quotas
    • Inspecting Disk Usage (Ncdu)
    • Restoring Deleted Files
    • Best Practices for I/O
    • Version Control
  • Submitting jobs
    • Running Jobs
    • Slurm Partitions
    • Interactive Jobs
    • Batch Jobs
    • Managing Jobs
    • Job Arrays
    • MPI Jobs
    • Condo/Priority Jobs
    • Dependent Jobs
    • Associations & Quality of Service (QOS)
  • GPU Computing
    • GPUs on Oscar
      • Grace Hopper GH200 GPUs
      • H100 NVL Tensor Core GPUs
      • Ampere Architecture GPUs
    • Submitting GPU Jobs
    • Intro to CUDA
    • Compiling CUDA
    • Installing Frameworks (PyTorch, TensorFlow, Jax)
      • Installing JAX
      • Installing TensorFlow
    • Mixing MPI and CUDA
  • Large Memory Computing
    • Large Memory Nodes on Oscar
  • Software
    • Software on Oscar
    • Using Modules
    • Migration of MPI Apps to Slurm 22.05.7
    • Python on Oscar
    • Python in batch jobs
    • Installing Python Packages
    • Installing R Packages
    • Using CCMake
    • Intro to Parallel Programming
    • Anaconda
    • Conda and Mamba
    • DMTCP
    • Screen
    • VASP
    • Gaussian
    • IDL
    • MPI4PY
  • Jupyter Notebooks/Labs
    • Jupyter Notebooks on Oscar
    • Jupyter Labs on Oscar
    • Tunneling into Jupyter with Windows
  • Debugging
    • Arm Forge
      • Configuring Remote Launch
      • Setting Job Submission Settings
  • MATLAB
    • Matlab GUI
    • Matlab Batch Jobs
    • Improving Performance and Memory Management
    • Parallel Matlab
  • Visualization 🕶
    • ParaView Remote Rendering
  • Singularity Containers
    • Intro to Apptainer
    • Building Images
    • Running Images
    • Accessing Oscar Filesystem
      • Example Container (TensorFlow)
    • Singularity Tips and Tricks
  • Installing Software Packages Locally
    • Installing your own version of Quantum Espresso
    • Installing your own version of Qmcpack
  • dbGaP
    • dbGaP Architecture
    • dbGaP Data Transfers
    • dbGaP Job Submission
  • RHEL9 Migration
    • RHEL-9 Migration
    • LMOD - New Module System
    • Module Changes
    • Testing Jupyter Notebooks on RHEL9 mini-cluster
  • Large Language Models
    • Ollama
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  • Account Requests and Software Needs
  • Usage Expectations and System Utilization
  • Support
  • Class Guest Accounts

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Student Accounts

CCV provides access to HPC resources for classes, workshops, demonstrations, and other instructional uses. In general, the system is available for most types of instructional use at Brown where HPC resources are required, and we will do what we can to provide the resources necessary to help teach your class. We do ask that you follow these guidelines to help us better support your class.

Account Requests and Software Needs

Requests for class accounts should be made in writing to support@ccv.brown.edu two weeks prior to the beginning of class, and should be made in bulk. Please provide the Brown username (required), name and Brown Email address for the students, TAs and instructor as well as the course number and the semester. Requests for specific software should also be made two weeks before the start of the semester, and should be properly licensed, tested and verified to work by an instructor or TA.

Usage Expectations and System Utilization

Unless prior arrangements are made, student class accounts will have the same priority and access as free accounts on the CCV system. Access can be provided to specialized hardware or higher cores if needed provided it does not impact research use of the CCV systems. Be aware that usage of the CCV system is unpredictable, and high utilization of the system could impact a student's ability to finish assignments in a specific time period. We also encourage instructors to give an overview of the system and discuss computing policies before students use the system. CCV can provide resources (slides, documentation and in class workshops) to help prepare students to use HPC system. CCV staff are always available to meet directly with instructors and TAs to help prepare for classes and help setup specific software or environments for the class.

Support

It is expected that any class being taught using CCV resources will have its own TA. The TA should be the first line of support for any problems or questions the students may have regarding the use of the CCV system. CCV staff may not know specifics about how to use or run the programs the class is using, and can’t provide direct support to students for that software.

Class Guest Accounts

CCV will provide limited duration guests accounts that are custom tailored for the class use of the system. These accounts will have a username of “ccvws###”, and each account is associated with an individual student, instructor, or TA. Guest accounts are temporary and are only active for the duration of the class, and are deactivated at the conclusion of the semester/workshop. Account data is kept intact on our system for one semester after the conclusion of the class, and is then permanently deleted from the CCV system.

To request student accounts for a course, please contact us by emailing support@ccv.brown.edu.

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Last updated 23 days ago

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