Oscar
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  • 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
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  • GPU Computing
    • GPUs on Oscar
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    • Submitting GPU Jobs
    • Intro to CUDA
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    • Installing Frameworks (PyTorch, TensorFlow, Jax)
      • Installing JAX
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    • 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
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    • Gaussian
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  • Jupyter Notebooks/Labs
    • Jupyter Notebooks on Oscar
    • Jupyter Labs on Oscar
    • Tunneling into Jupyter with Windows
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    • Arm Forge
      • Configuring Remote Launch
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  • MATLAB
    • Matlab GUI
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    • 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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On this page
  • What username and password should I be using?
  • Changing Passwords
  • Exploratory Account
  • Priority Accounts
  • HPC Priority
  • Standard GPU Priority
  • High End GPU Priority
  • Large Memory Priority
  • Condo

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Account Information

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Last updated 1 year ago

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To request a priority account or a condo, use the on the CCV homepage. For more information on resources available to priority accounts and costs, visit the .

What username and password should I be using?

  • If you are at Brown and have requested a regular CCV account, your Oscar login can be authenticated using your Brown credentials itself, i.e. the same username and password that you use to login to any Brown service such as "canvas".

  • If you are an external user, you will have to get a sponsored ID at Brown through the department with which you are associated, before requesting an account on Oscar. Once you have the sponsored ID at Brown, you can on Oscar and use your Brown username and password to login.

Changing Passwords

Oscar users should use their Brown passwords to log into Oscar. Users should change their Brown passwords at .

Exploratory Account

  • Exploratory accounts are available to all members of the Brown community for free.

  • See thefor detailed description of the resources

  • Jobs are submitted to the batch partition. See the page for available hardware

Priority Accounts

The following accounts are billed quarterly and offer more computational resources than the exploratory accounts. See thefor pricing and detailed description of the resources

HPC Priority

  • Intended for users running CPU-intensive jobs. These offer more CPU and memory resources than an exploratory account

  • Two types of accounts:

    • HPC Priority

    • HPC Priority+ (Twice the resources of HPC Priority)

Standard GPU Priority

  • Intended for users running GPU intensive jobs. These accounts offer fewer CPU and memory resources but more GPU resources than an exploratory account.

  • Two types of accounts:

    • Standard GPU Priority

    • Standard GPU Priority+ (Twice the resources of Standard GPU Priority)

High End GPU Priority

  • Intended for GPU jobs required high-end gpus. These offer the same number of CPUS as Standard GPU priority accounts

  • High end GPUS like A40, v100 and a6000 are available

Large Memory Priority

  • Intended for jobs requiring large amounts of memory.

  • These accounts offer 2TB of memory and twice the wall-time of exploratory accounts.

Condo

PIs who purchase hardware (compute nodes) for the CCV machine get a Condo account. Condo account users have the highest priority on the number of cores equivalent to the hardware they purchased. Condo accounts last for five years and give their owners access to 25% more CPU cores than they purchase for the first three years of their lifespan. GPU resources do not decrease over the lifetime of the condo.

See thefor pricing and detailed description of the resources.

Jobs are submitted to the batch partition. See the page for available hardware

See thefor pricing and detailed description of the resources.

Jobs are submitted to the gpu partition. See the page for available GPU hardware

See thefor pricing and detailed description of the resources

Jobs are submitted to the gpu-he partition. See the page for available GPU hardware

See thefor pricing and detailed description of the resources

Jobs are submitted to the bigmem partition. See the page for available hardware

Investigators may also purchase condos to grant access to computing resources for others working with them. After a condo is purchased, they can have users request to join the condo group through the "Request Access to Existing Condo" option on the on the CCV homepage.

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