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Every semester, we host training workshops on topics ranging from intro to HPC, to machine learning, to parallel computing, and beyond. In addition, there are many great opportunities for learning hosted by other organizations within the community. Whether you're interested in learning about specific programming languages, exploring data analytics techniques, or cloud computing, there's a wide array of learning opportunities available.

Old Workshops

Looking for materials from or recordings of previous workshops? Check out our Workshop Materials page!

HPC Calendar

Topic Date Time Room Instructor
Intro to HPC: Overview and AccessAn introduction to what HPC is, basics of the U of A’s HPC, how to create an account and login. Motivates the usage of HPC including examples from many research areas; outlines several common misconceptions about HPC; introduces the U of A’s clusters; describes the basics of the UA HPC system architecture, including node types and proper usage. This workshop is aimed at first-time HPC users, or users new to the U of A’s HPC system. No programming experience is assumed or required. Basic computer literacy is recommended.
 Feb 14th 2025 10:00am Main Library 112 Ethan Jahn
Intro to HPC: Storage and SoftwareAn introduction to the HPC systems related to data storage and software. Outlines the details of the HPC high performance storage system, the rental storage system, Research Desktop Attached Storage (R-DAS), and AWS Tier 2 storage. Covers the basics of Linux file permissions in the context of a shared cluster, including our conventions and best practices. Outlines methods for transferring files to/from the HPC storage system. Describes the module system used to provide software to users, and provides guidelines for personal software installations. Familiarity with basic programming recommended but not required. Participants should be familiar with topics covered in Workshop 1.
 Feb 14th 2025 11:15am Main Library 112 Ethan Jahn
Shared Memory Programming Using OpenMP For more information on this workshop, click here. To register for this workshop, click here
Feb 19th 2025 9am - 3pm Main Library 201 (morning) and 112 (afternoon) Pittsburgh Supercomputing Center
Fundamentals of Accelerated Data Science with RAPIDS pt.1This workshop introduces attendees to the NVIDIA RAPIDS Data Science package. The fundamentals covered will show how to leverage NVIDIA GPUs to handle large datasets, while significantly reducing computational time. All of this without significant changes to existing data science workflows. Learn more here
 Feb 20th 2025 9am - 12pm Weaver SciEng Library 212 Devin Bayly
Fundamentals of Accelerated Data Science with RAPIDS pt.2This workshop introduces attendees to the NVIDIA RAPIDS Data Science package. The fundamentals covered will show how to leverage NVIDIA GPUs to handle large datasets, while significantly reducing computational time. All of this without significant changes to existing data science workflows. Learn more here
 Feb 21st 2025 1-5pm Main Library 252 Devin Bayly
Scheduling and Running Jobs on HPCThe ins-and-outs of running jobs on the HPC system. Provides details related to partitions and CPU-time allocations in relation to the scheduling system. Describes HPC hardware information relevant to submitting resource requests. Covers details for each type of job, including Open OnDemand graphical jobs, interactive terminal sessions, batch jobs, and array jobs. Provides best practices and clarification related to the queueing system and Slurm terminology. A basic batch job example is included. Basic programming experience including familiarity with bash recommended but not required. Participants should be familiar with topics covered in Workshops 1 and 2
 Feb 28th 2025 10:00am Main Library 112 Ethan Jahn
Managing and Optimizing JobsMotivates, defines, and describes tools/techniques for managing jobs, including Open OnDemand and command-line tools (both provided by Slurm – e.g. squeue – and other tools such as seff and job-history). Provides detailed examples and use cases for these tools. Additionally provides clarity and motivation for job optimization, including decreasing time to result and improving overall HPC throughput. Outlines best practices and principles of constructing optimal resource requests. Basic programming experience and familiarity with previous workshop topics is recommended.
 Feb 28th 2025 11:15am Main Library 112 Ethan Jahn

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