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Educational Opportunities and Workshops

Educational Opportunities and Workshops

Owned by rahull1
Last updated: Jan 07, 2025 by Rebecca Belshe
8 min read

Spring 2025

January

  • Beginner's Guide to Research Computing, January 15, 10:00 AM - 11:15 AM, Zoom. Registration Link.

  • Python: Applications and Uses in Research Computing, January 15, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • Supercharge Your Research!, January 17, 10:00 AM - 10:30 AM, Zoom. Registration Link.

  • Empowering Secure Research: Navigating the KE Secure Cloud for Sensitive Data Analysis, January 17, 10:30 AM - 11:00 AM, Zoom. Registration Link.

  • Applications and Uses of MATLAB, January 22, 9:00 AM - 10:00 AM, Zoom. Registration Link.

  • Introduction to R for Research Computing, January 22, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • Managing Python Environments on Sol, January 22, 11:30 AM - 12:00 PM, Zoom. Registration Link.

  • Accelerating Research with GPUs, January 29, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • How to Use the Linux Shell: Introducing the Shell, Navigating Files and Directories, January 29, 9:00 AM - 10:00 AM, Zoom. Registration Link.

  • Python: Data Handling, January 29, 11:30 AM - 12:30 PM, Zoom. Registration Link.

February

  • How to Use the Linux Shell: Working with Files and Directories, February 5, 9:00 AM - 10:00 AM, Zoom. Registration Link.

  • Python: Machine Learning, February 5, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • RTO Ignition: Agent Based Modeling, February 5, 1:00 - 4:00 PM, In-Person. Registration Link.

  • How to Use the Linux Shell: Pipes, Filters, and Loops, February 12, 9:00 AM- 10:00 AM, Zoom. Registration Link.

  • Beginner's Guide to Research Computing, February 12, 10:00 AM - 11:15 AM, Zoom. Registration Link.

  • Python: Deep Learning, February 12, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • How to Use the Linux Shell: Shell Scripts and Finding Things, February 19, 9:00 AM - 10:00 AM, Zoom. Registration Link.

  • Advanced Research Acceleration with GPUs, February 19, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • Beyond Text: Harnessing the Potential of Large Language Models for Innovation, February 19, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • Supercharge Your Research!, February 21, 10:00 AM - 10:30 AM, Zoom. Registration Link.

  • Jetstream2: NSF’s Next Generation of Cloud Computing, February 21, 10:30 AM - 11:00 AM, Zoom. Registration Link.

  • How to Use the Linux Shell: Using the Scheduler, February 26, 9:00 AM - 10:00 AM, Zoom. Registration Link.

  • Advanced Computing with R, February 26, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • AI Ignition: GitHub's AI-Powered Programming Assistant, February 26, 11:30 AM - 12:00 PM, Zoom. Registration Link.

  • Welcome to the Quantum Collaborative: Exploring NVIDIA’s CUDA-Q, IBM's Qiskit, Quantum Rings, and MATLAB, February 28, 10:30 AM - 11:00 AM, Zoom. Registration Link.

March

  • Accelerating Research with GPUs, March 5, 9:00 AM -10:00 AM, Zoom. Registration Link.

  • Applications and Uses of MATLAB, March 5, 10:30 AM -11:30 AM, Zoom. Registration Link.

  • Advanced Computing Techniques, March 12, 9:00 AM - 10:00 AM, Zoom. Registration Link.

  • Managing Python Environments on Sol, March 12, 10:30 AM - 11:00 AM, Zoom. Registration Link.

  • Beyond Text: Harnessing the Potential of Large Language Models for Innovation, March 12, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • Beginner's Guide to Research Computing, March 19, 10:00 AM -11:15 AM, Zoom. Registration Link.

  • Data Transfers with ASU Research Computing, March 26, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • Advanced Computing Techniques: Job and Memory Profiling, March 26, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • GPU Day - Date to be announced!

April

  • Advanced Computing Techniques: Job Arrays and Dependencies, April 2, 11:30 AM - 12:30 PM, Zoom. Registration Link.

  • Introduction to R for Research Computing, April 9, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • Advanced Computing with R, April 9, 11:30 AM - 12:30 AM, Zoom. Registration Link.

  • Beginner's Guide to Research Computing, April 16, 10:00 AM - 11:15 AM, Zoom. Registration Link.

  • Supercharge Your Research!, April 18, 10:00 AM - 10:30 AM, Zoom. Registration Link.

  • Empowering Secure Research: Navigating the KE Secure Cloud for Sensitive Data Analysis, April 18, 11:00 AM - 11:30 AM, Zoom. Registration Link.

  • Welcome to the Quantum Collaborative: Exploring NVIDIA’s CUDA-Q, IBM's Qiskit, Quantum Rings, and MATLAB, April 25, 10:30 AM - 11:00 AM, Zoom. Registration Link.

  • Jetstream2: NSF’s Next Generation of Cloud Computing, April 25, 11:00 AM - 11:30 AM, Zoom. Registration Link.

May

  • Beyond Text: Harnessing the Potential of Large Language Models for Innovation, May 7, 10:00 AM - 11:00 AM, Zoom. Registration Link.

  • Data Transfers with ASU Research Computing, May 7, 11:30 AM - 12:00 PM, Zoom. Registration Link.

  • Beginner's Guide to Research Computing, May 14, 10:00 AM - 11:15 AM, Zoom. Registration Link.

GPU Day

  • GPU Day 2023 Materials.

  • GPU Day 2024 Materials.

Research Computing Expo

  • Research Computing Expo 2022 Recordings and Slides.

  • Research Computing Expo 2021 Materials.

  • Research Computing Expo 2023 Materials.

  • Research Computing Expo 2024 Materials.

Past Workshops

See a complete catalog of past workshops: Catalog of Past Workshops

Workshop Descriptions

Click on the workshop summaries below to see descriptions!

This workshop will cover the Agave supercomputer configuration, batch and interactive access, and available software packages. Access has been greatly simplified with Open OnDemand, a browser-based portal to Agave supporting command-line shell, drag and drop file transfer, job submission, and RStudio and Jupyter interfaces. A sample of applications run on the system will demonstrate the variety of computational research Agave supports, including new GPU acceleration capability. In preparation for the workshop all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

This workshop covers more advanced topics for conducting research on ASU's high-performance computing supercomputer, mostly focusing on batch submission processes and benchmarking jobs through the command line. In preparation for the workshop all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

This workshop provides training for using the Linux command-line interface. The workshop utilizes materials provided by the Software Carpentries on Unix shells, and emphasizes the bare minimum requirements to become proficient on the supercompter.

The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including “high-performance computing” supercomputers). These lessons will start you on a path towards using these resources effectively.

In preparation for the workshop all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

This workshop will focus on approaches to porting Matlab applications to a supercomputer environment such as that of ASU's Agave supercomputer. This is not an intro to Matlab course. The intended audience member will have developed Matlab code that runs on a desktop machine but now would like to run this code in a parallel environment. This may be implemented through either:

  1. Batch submission of multiple single-threaded instances (e.g. parameter sweep)

  2. Multithreading m file using "parfor" command

  3. Confronting large datasets using distributed arrays or tall arrays

  4. Exploiting Matlab functions ported to GPU

  5. Multithreading C-code using OpenMP or writing cuda kernels and compiling with mex compiler to be called by Matlab

  6. Introduction to features of the Matlab Parallel Server

In preparation for the workshop all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

This workshop will focus on best practice, profiling and benchmarking in R. This workshop will also introduce how to submit R jobs to ASU’s Agave supercomputer through the use of batch submissions, parameter sweeps, and SLURM job arrays. In preparation for the workshop all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

 

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