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Why invest the time and effort to learn HPC?

Learning how to use HPC will likely not be valuable for all users in all cases, but it can be exceptionally valuable and save significant time and effort in certain situations. Learning these skills provide HPC knowledgable users with a strategic advantage that can serve them throughout their academic, research, and professional careers.

Anyone with a workstation crashing due to memory problems from too much data, running time consuming computational tasks, performing repetitive computations, wanting to scale their computational work, or just needing more compute power should consider using HPC resources for improved speed, efficiency and time-savings.

Common HPC Skills

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 it 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 a very general list of common set of skill to master to become an expert HPC user:

General HPC Use and Knowledge
The Linux Operating System
Command Line Interface (CLI)
1. Text Editors
Data Transfers and Management
Common Commonly Used Software for on HPC Clusters (Conda, Python, R, etc)
1. Environments and Software Package Management: Conda & Pip
2. Python
3. R and R Studio
4. Jupyter Notebooks

ARCC Hosted Training

Fall 2024

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	HPC Bootcamp Fall 2024
	HPC Bootcamp Fall 2024
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More HPC Training Resources

During Spring and Fall semesters, ARCC and the Digital Scholarship Center offer a number of relevant workshops on HPC, R, Python, Data Management, Globus, and other helpful and related topics.

To see currently scheduled topics, please see the the Library Events Calendar

Expand

title	Prior Workshops and Trainings

Spring 2024

Tuesday February 20, 2024 2-4PM: Introduction to R for Data Analysis
Monday February 26, 2024 9AM-12PM: Introduction to Linux
Monday February 26, 2024 1-2PM: Text Editors in Linux
Wednesday February 28, 2024 3-5PM: Introduction to Python
Tuesday March 5, 2024 2-4PM: Introduction to Machine Learning with Python
Monday March 18, 2024 9AM-2:30PM: Introduction to HPC
Wednesday April 10, 2024 9AM-12PM: Introduction to Southpass
Wednesday April 24, 2024 9AM-12PM: Data Transferring Options for HPC and Beartooth
Monday June 10 - Friday June 14, 2024: Graduate Computing Bootcamp & Hackathon

Fall 2023

February 28, 2023 3-4:30PM @COE302: R for Data Visualization, delivered by the Libraries DSC
March 1, 2023 4-5 PM @COE302: NWSC Allocation Prep, jointly delivered by ARCC and the Libraries DSC
March 6, 2023 3-4:30PM @COE302: Intermediate Linux
March 23, 2023 11-2:30pm @COE216: Deep Learning with MATLAB: Time Series, Images, Signals and More, delivered by Mathworks
April 3, 2023 11-2pm @COE216: Intel Analytics Tools, delivered by Intel
April 17, 2023 11-2:30PM @COE216: Intel oneAPI AI Analytics Toolkit
April 18, 2023 3-4:30PM @COE302: Intermediate Cluster Computing
May 15, 2023 3-5PM @AG316: Nextflow for Workflow Management, delivered by the UW Department of Mathematics and Statistics, and the Public Health Lab at the Wyoming Department of Health
May 17, 2023 11:30-3PM: Remote workshop: Intel OneAPI AI Analytics Toolkit, delivered by Intel

Spring 2023

February 28, 2023 3-4:30PM @COE302: R for Data Visualization, delivered by the Libraries DSC
March 1, 2023 4-5 PM @COE302: NWSC Allocation Prep, jointly delivered by ARCC and the Libraries DSC
March 6, 2023 3-4:30PM @COE302: Intermediate Linux
March 23, 2023 11-2:30pm @COE216: Deep Learning with MATLAB: Time Series, Images, Signals and More, delivered by Mathworks
April 3, 2023 11-2pm @COE216: Intel Analytics Tools, delivered by Intel
April 17, 2023 11-2:30PM @COE216: Intel oneAPI AI Analytics Toolkit
April 18, 2023 3-4:30PM @COE302: Intermediate Cluster Computing
May 15, 2023 3-5PM @AG316: Nextflow for Workflow Management, delivered by the UW Department of Mathematics and Statistics, and the Public Health Lab at the Wyoming Department of Health
May 17, 2023 11:30-3PM: Remote workshop: Intel OneAPI AI Analytics Toolkit, delivered by Intel

Fall 2022

September 13 https://uwyo.libcal.com/calendar/dsc/intro_to_python_for_data_visualization?hs=a, delivered by the Libraries DSC
September 27 https://uwyo.libcal.com/calendar/dsc/intro_to_r?hs=a, delivered by the Libraries DSC
October 11 https://uwyo.libcal.com/calendar/dsc/parallel_computing_with_MATLAB?hs=a, delivered by Mathworks
October 25 https://uwyo.libcal.com/calendar/dsc/intro_to_linux?hs=a
November 8 https://uwyo.libcal.com/event/9564938

Spring 2022

Wild Iris Train the Trainer
Matlab remote workshop

Introductory videos

Intro to ARCC: who we are, what we do, our services.
Intro to HPC clusters: high level architectural concepts
Getting started on ARCC infrastructure: where to put data, how to connect to cluster, how to start compute jobs.

RMACC Courses

Other Members of RMACC have shared their training online. Visit the RMACC Training web page for more information.

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