Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 7 Next »

Learning to use HPC can be valuable for a number of different use cases. Anyone with a workstation crashing due to memory problems from too much data, or anyone running time consuming computational tasks, performing repetitive computations, or wanting to scale their computational work should consider using HPC resources for improved speed and efficiency.

ARCC helps all UW researchers regardless of HPC experience level learn to complete their research with HPC.

Becoming an expert in HPC requires knowledge in Linux Command Line, and mastering a number of tools. The tools that provide the greatest value to you may be different from those in other scientific domains. While this may seem initially daunting, UW ARCC helps all researchers regardless of HPC experience level. Our department has developed a number of tutorials and we offer bi-weekly office hours allowing you to learn HPC at your own pace. Below is an expandable list of common set of skill to master in order to become an expert HPC user with links to training and materials on our Wiki:

 Common skill sets to learn to become an HPC expert.
  1. Linux

    1. Introducing Linux:

      1. Getting Started

      2. Command Line and Using the Terminal

      3. The Linux File System

      4. Text Editors in Linux

      5. Viewing and Searching Files

    2. Intermediate Linux:

      1. Output, Redirection, and Piping

      2. Intermediate Command Line Features

  2. HPC

    1. Intro to ARCC HPC

      1. Beginners Guide to Accessing the Cluster

        1. #1 Easiest Way - OnDemand on MedicineBow, Southpass on Beartooth

        2. Set up SSH Access

      2. Using the Module System

      3. Intro to Job Scheduling

      4. Intro to HPC OnDemand

  3. Data Management

    1. Transferring Data with ARCC Services

    2. Introduction to Data Management

  4. Using Software on HPC

    1. Using Conda on the Cluster

    2. Using Python on the Cluster

    3. Using R/R Studio on the Cluster

    4. Using Jupyter Notebooks on the Cluster

Due to increased demand, UW ARCC will host 2 long HPC Bootcamps covering these topics early Fall 2024. Each Bootcamp runs for a full week and are scheduled for the following weeks in Fall of 2024:

  • August Bootcamp (Runs from Monday August 12, 2024 through Friday August 16, 2024)

  • September Bootcamp (Runs from Monday September 9, 2024 through Friday September 13, 2024)


Interested parties may sign up for one of week long bootcamp session here.

  • No labels