Distributed ML @ W&M
  • Distributed ML @ W&M
  • Logging in and Setting up your HPC Account
    • πŸŽ‰Requesting an Account
    • πŸ‘‹Login & Basic Setup
    • πŸ—ΊοΈPBSTOP - Your Cluster Roadmap
    • 🐍Uploading Files
  • The Batch System
    • πŸ‘©β€πŸŒΎWhat is a batch system?
    • πŸ‘·Jobs
    • Interactive Jobs
    • Non-Interactive Jobs
    • Checking the status of your jobs
    • Deleting Jobs
  • Using Python & Batch
    • 🐍Conda Environments
    • Python + Conda in a Job
    • Python & MPI
    • Python & Dask
  • Distributed sklearn
    • Example Dataset
    • Random Search - Simple
    • Random Search - MPI
    • Random Forest
    • Dask & sklearn
  • Distributed PyTorch - Dask
    • Basics of Torch
    • PyTorch + DASK
  • Kubernetes
    • Basics of Kubernetes
    • Your First K8S Deployment
    • Persistence & Python
    • Setting up Torch
    • One Pod Torch with Data
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  1. Logging in and Setting up your HPC Account

Requesting an Account

PreviousDistributed ML @ W&MNextLogin & Basic Setup

Last updated 2 years ago

In order to use the high performance computing environments at William & Mary, you must first request access for your W&M user ID. This process can be completed by following the instructions at https://www.wm.edu/offices/it/services/researchcomputing/acctreq/index.php . Note the process is not automated, and thus it can take a few days before your new account permissions are enabled.

Of note, if you work in a specific research lab on campus (i.e., ), it is important to note that in your account signup, as that will allow the HPC team to give your account appropriate permissions for both files and computational resources.

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