Catalog of Past Workshops

Fall 2023

Supercharge Your Research!, In-Person, August 24, 9:00 - 9:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, August 24, 10:00 - 11:15 AM. Registration Link.
How to Use the Linux Shell, Zoom, August 24, 11:30 AM - 12:30 PM. Registration Link.
Software Carpentry (Shell, Git, Plotting and Programming in Python), Zoom, August 28 - 30, 9:00 AM - 3:00 PM. Registration Link.
Applications and Uses of MATLAB, Zoom, August 31, 10:00 - 11:00 AM. Registration Link.
Python: Applications and Uses in Research Computing, Zoom, August 31, 11:15 AM - 12:15 PM. Registration Link.

Introduction to R for Research Computing, Zoom, September 18, 10:00 - 11:00 AM. Registration Link.
Python: Data Handling, Zoom, September 18, 11:15 AM - 12:15 PM. Registration Link.
Accelerating Research with GPUs, Zoom, September 25, 9:00 - 10:00 AM. Registration Link.
Python: Machine Learning, Zoom, September 25, 11:15 AM - 12:15 PM. Registration Link.
Supercharge Your Research!, Zoom, September 28, 9:00 - 9:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, September 28, 10:00 - 11:15 AM. Registration Link.
Simplifying Data Transfers with Globus, Zoom, September 28, 11:30 AM - 12:30 PM. Registration Link.
Advanced Research Acceleration with GPUs, Zoom, September 28, 3:00 - 4:00 PM. Registration Link.

How to Use the Linux Shell, October 9, Zoom, 10:00 - 11:00 AM. Registration Link.
Applications and Uses of MATLAB, Zoom, October 9, 11:15 AM - 12:15 PM. Registration Link.
Jetstream2: NSF’s Next Generation of Cloud Computing, October 30, 9:00 - 9:30 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, October 30, 10:00 - 11:15 AM. Registration Link.
Advanced Computing Techniques, Zoom, October 30, 11:30 AM - 12:30 PM. Registration Link.

Accelerating Research with GPUs, Zoom, November 6, 9:00 - 10:00 AM. Registration Link.
Large Language Models, Zoom, November 6, 10:30 - 11:00 AM. Registration Link.
Managing Python Environments on Sol, Zoom, November 6, 11:00 - 11:30 AM. Registration Link.
Supercharge Your Research!, Zoom, November 30, 10:00 - 10:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, November 30, 10:45 AM - 12:00 PM. Registration Link.
Data Transfers and Migrating from Agave to Sol, Zoom, November 30, 12:00 - 1:00 PM. Registration Link.
Supercharge Your Research!, Zoom, December 11, 10:00 - 10:45 AM. Registration Link.
Large Language Models, Zoom, December 11, 11:00 - 11:30 AM. Registration Link.
Data Transfers and Migrating from Agave to Sol, Zoom, December 11, 11:45 AM - 12:45 PM. Registration Link.
Beginner's Guide to Research Computing, December 18, 10:00 - 11:15 AM. Registration Link.
Introduction to R for Research Computing, December 18, 11:30 AM - 12:30 PM. Registration Link.
Advanced Computing with R, December 19, 10:00 - 11:00 AM. Registration Link.
How to Use the Linux Shell, December 19, 11:30 AM - 12:30 PM. Registration Link.

Summer 2023

Beginner's Guide to Research Computing, Zoom, May 25, 10:00 - 11:15 AM. Registration Link.
Supercharge Your Research!, Zoom, June 15, 10:00 - 10:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, June 15, 11:00 - 12:15 PM. Registration Link.
How the Little Jupyter Notebook Became a Web App: Making Your Code and Data More Accessible and Reusable, June 29, 10:00 AM - 3:00 PM. Registration Link.
Beginner's Guide to Research Computing, Zoom, July 13, 10:00 - 11:15 AM. Registration Link.
Simplifying Data Transfers with Globus, Zoom, July 13, 11:30 AM - 12:30 PM. Registration Link.

Spring 2023

(In-Person) January 5, 9:00 - 9:45 AM, Supercharge Your Research! Registration Link.
(In-Person) January 5, 10:00 - 11:15 AM, Beginner’s Guide to Research Computing. Registration Link.
(In-Person) January 5, 11:30 AM - 12:30 PM, How to Use the Linux Shell. Registration Link.
(Hybrid) January 12, 10:00 - 11:00 AM, Applications and Uses of MATLAB. Registration Link.
(Hybrid) January 12, 11:15 AM - 12:15 PM, Python: Applications and Uses in Research Computing. Registration Link.
(Hybrid) January 19, 10:00 - 11:00 AM, Introduction to R for Research Computing. Registration Link.
(Hybrid) January 19, 11:15 AM - 12:15 PM, Python: Data Handling. Registration Link.
(Hybrid) January 26, 10:00 - 11:00 AM, Accelerating Research with GPUs. Registration Link.
(Hybrid) January 26, 11:15 AM - 12:15 PM, Python: Machine Learning. Registration Link.
February 2, 10:00 - 11:15 AM, Beginner’s Guide to Research Computing. Registration Link.
February 2, 11:30 AM - 12:30 PM, Python: Deep Learning. Registration Link.
(Hybrid) February 9, 10:00 - 11:00 AM, Advanced Computing Techniques. Registration Link.
February 9, 11:15 AM - 12:15 PM, Simplifying Data Transfers with Globus. Registration Link.
February 13 - 15, 9:00 AM - 3:00 PM, Software Carpentry: Shell, Git, and R for Reproducible Scientific Analysis. Registration Link.
February 16, 10:00 - 11:00 AM, Advanced Computing with R. Registration Link.
February 16, 11:15 AM - 12:15 PM, Advanced Research Acceleration with GPUs. Registration Link.
(Hybrid) March 2, 10:00 - 10:45 AM, Supercharge Your Research! Registration Link.
March 16, 10:00 - 11:15 AM, Beginner’s Guide to Research Computing. Registration Link.
March 16, 11:30 AM - 12:30 PM, Accelerating Research with GPUs. Registration Link.
March 23, 10:00 - 11:00 AM, Introduction to R for Research Computing. Registration Link.
March 23, 11:15 AM - 12:15 PM, How to Use the Linux Shell. Registration Link.
April 6, 10:00 - 11:15 AM, Beginner’s Guide to Research Computing. Registration Link.
April 6, 11:30 AM - 12:30 PM, Advanced Computing Techniques. Registration Link.
April 13, 10:00 - 10:45 AM, Supercharge Your Research! Registration Link.
April 17 - 19, ResBaz Arizona 2023. Registration Link.
April 20, 10:00 - 11:00 AM, Applications and Uses of MATLAB. Registration Link.
April 20, 11:15 AM - 12:15 PM, Simplifying Data Transfers with Globus. Registration Link.
April 24, 8:00 AM - 2:00 PM, XSEDE HPC Workshop: Shared Memory Programming Using OpenMP. Registration Link.

Fall 2022

September 7-8, GRASP 2022. Registration link.
September 12, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
[In-Person] September 19, 1:00-2:00 PM, Introduction to R for Research Computing. Registration link.
September 20-22, Software Carpentry: Shell, Git, Plotting and Programming in Python. Registration link.
September 28, 2:00-3:00 PM, Applications and Uses of MATLAB. Registration link.
(In-Person) October 3, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
(In-Person) October 3, 2:15-3:15 PM, Python: Data Handling. Registration link.
October 14, 1:00-2:00 PM, How to Use the Linux Shell. Registration link.
October 14, 2:15-3:15 PM, Python: Applications and Uses in Research Computing. Registration link.
(In-Person) October 17, 1:00-2:00 PM, Accelerating Research with GPUs. Registration link.
(In-Person) October 17, 2:00-3:00 PM, Python: Machine Learning. Registration link.
October 21, 12:00-1:00 PM, Command-Line Transfers Between Google Drive and Dropbox Using Rclone. Registration link.
November 4, 11:00-12:00 PM, Command-Line Transfers Between Google Drive and Dropbox Using Rclone. Registration link.
November 7, 1:00-2:00 PM, Accelerating Research with GPUs. Registration link.
November 7, 2:15-3:15 PM, Python: Deep Learning. Registration link.
November 21, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
November 21, 2:30-4:00 PM, Advanced Computing Techniques. Registration link.
December 5, 2:30-3:30 PM, Command-Line Transfers Between Google Drive and Dropbox Using Rclone. Registration link.
December 12, 1:00-2:00 PM, Advanced Computing with R. Registration link.
December 12, 2:15 - 3:15 PM, Advanced Research Acceleration with GPUs. Registration link.
December 16, 1:00-2:00 PM, Command-Line Transfers Between Google Drive and Dropbox Using Rclone. Registration link.
December 19, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
December 19, 2:30-3:30 PM, Simplifying Data Transfers with Globus. Registration link.

Summer 2022

June 6, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
July 6, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
July 25, 2:00-3:00 PM, Simplifying Data Transfers with Globus. Registration link.
August 1-2, 8:00 AM - 5:00 PM, 2022 Research Computing Expo. Registration link.

Spring 2022

January 6, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
January 6, 2:30-3:30 PM, How to Use the Linux Shell. Registration link.
January 10, 1:00-2:00 PM, Simplifying Data Transfers with Globus. Registration link.
January 13, 1:00-2:00 PM, Introduction to R for Research Computing. Registration link.
January 13, 2:15-3:15 PM, Python: Applications and Uses in Research Computing. Registration link.
January 20, 1:00-2:00 PM, Accelerating Research with GPUs. Registration link.
January 20, 2:15-3:15 PM, Advanced Research Acceleration with GPUs. Registration link.
January 24, 1:00-2:00 PM, Advanced Computing with R. Registration link.
January 24, 2:15-3:15 PM, Python: Data Handling. Registration link.
January 31, 1:00-2:00 PM, Applications and Uses of MATLAB. Registration link.
January 31, 2:15-3:15 PM, Python: Machine Learning. Registration link.
February 7, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
February 7, 2:30-3:30 PM, Advanced Computing Techniques. Registration link.
February 14, 1:00-2:00 PM, Python: Deep Learning. Registration link.
March 28, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
March 28, 2:30-3:30 PM, Simplifying Data Transfers with Globus. Registration link.
April 5-7, 9:00 AM - 3:00 PM, Software Carpentry: Shell, Git, Plotting and Programming in Python. Registration link. Cancelled.
April 11, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
April 11, 2:30-3:30 PM, Advanced Computing Techniques. Registration link.
May 16, 1:00-2:15 PM, Beginner’s Guide to Research Computing. Registration link.
May 16, 2:30-3:30 PM, Simplifying Data Transfers with Globus. Registration link.

Fall 2021

August 30, 1:00-2:00 PM, Simplifying Data Transfers with Globus. Registration link.
September 20, 2:15-3:15 PM, Beginner’s Guide to Research Computing. Registration link.
October 18, 2:15-3:15 PM, Beginner’s Guide to Research Computing. Registration link.
October 25, 2:15-3:15 PM, Simplifying Data Transfers with Globus. Registration link.
November 1, 1:00-2:00 PM, Introduction to R for Research Computing. Registration link.
November 1, 2:15-3:15 PM, Advanced Computing with R. Registration link.
November 8, 1:00-2:00 PM, Accelerating Research with GPUs. Registration link.
November 8, 2:15-3:15 PM, Advanced Research Acceleration with GPUs. Registration link.
November 29, 1:00-2:00 PM, Beginner’s Guide to Research Computing. Registration link.
November 29, 2:15-3:15 PM, Applications and Uses of MATLAB. Registration link.
December 13, 1:00-2:00 PM, Beginner’s Guide to Research Computing. Registration link.

Summer 2021

May 10, 2021, 2:00-3:00 PM, R 1: Intro for HPC, Zoom. Registration link.
May 10, 2021, 3:15-4:15 PM, R 2: Scaling code for HPC, Zoom. Registration link.
May 17, 2021, 3:15-4:15 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
May 24, 2021, 2:00-3:00 PM, HPC 1: Intro to HPC, Zoom. Registration link.
June 14, 2021, 2:00-3:00 PM, HPC 1: Intro to HPC, Zoom. Registration link.
June 14, 2021, 3:15-4:15 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
RC Expo 21, August 2 - 6, 2021, Recordings and Slides.

Spring 2021

Jan 4, 2021, 2:00-3:00 PM, HPC1: Intro to HPC, Zoom. Registration Link.
Jan 4, 2021, 3:15-4:15 PM, Intro to the Linux Command Line, Zoom. Registration Link.
Jan 11, 2021, 2:00-3:00 PM, Python 1: Intro for HPC, Zoom. Registration link.
Jan 11, 2021, 3:15-4:15 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Jan 19, 2021, 2:00-3:00 PM, Matlab for HPC & on GPU, Zoom. Registration link.
Jan 19, 2021, 3:15-4:15 PM, Python 2: Data Handling for HPC, Zoom. Registration link.
Jan 25, 2021, 2:00-3:00 PM, R 1: Intro for HPC, Zoom. Registration link.
Jan 25, 2021, 3:15-4:15 PM, R 2: Scaling code for HPC, Zoom. Registration link.
Feb 1, 2021, 2:00-3:00 PM, GPU 1: Intro to HPC, Zoom. Registration link.
Feb 8, 2021, 2:00-3:00 PM, HPC 1: Intro to HPC, Zoom. Registration link.
Feb 8, 2021, 3:15-4:15 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Feb 15, 2021, 2:00-3:00 PM, GPU 2: OpenACC & Cuda for HPC, Zoom. Registration link.
Feb 15, 2021, 3:15-4:15 PM, Python 3: Machine Learning for HPC, Zoom. Registration link.
Feb 22, 2021, 2:00-3:00 PM, HPC 2: Scaling for HPC, Zoom. Registration link.
Mar 1, 2021, 2:00-3:00 PM, HPC 1: Intro to HPC, Zoom. Registration link.
Mar 1, 2021, 3:15-4:15 PM, Python 4: Deep learning for HPC, Zoom. Registration link.
Mar 8 and 9, 2021, 9:00-3:00 PM, Carpentry: R, Visualization, & GIS, Zoom. Registration link.
Mar 15, 2021, 3:15-4:15 PM, Intro to the Linux Command Line, Zoom. Registration link.
Mar 22, 2021, 2:00-3:00PM, GPU 2: OpenACC & Cuda for HPC, Zoom. Registration link.
Mar 22, 2021, 3:15-4:15 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Apr 5, 2021, 2:00-3:00 PM, HPC 1: Intro to HPC, Zoom. Registration link.
Apr 12, 2021, 2:00-3:00 PM, MATLAB for HPC & on GPU, Zoom. Registration link.
Apr 19, 2021, 3:15-4:15 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Apr 26, 2021, 2:00-3:00 PM, R 1: Intro for HPC, Zoom. Registration link.
Apr 26, 2021, 3:15-4:15 PM, R 2: Scaling code for HPC, Zoom. Registration link.

Fall 2020

Aug 17, 2020, 2-3 PM, Intro to HPC, Zoom. Registration Link.
Aug 17, 2020, 3-4 PM, Intro to Linux Command Line Interfaces, Zoom. Registration Link.
Aug 24, 2020, 2-3 PM, Matlab for HPC & on GPU, Zoom. Registration link.
Aug 31, 2020, 2-3 PM, Python Intro for HPC (Python 1), Zoom. Registration link.
Aug 31, 2020, 3-4 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Sep 8, 2020, 2-3 PM, Python Data Handling for HPC (Python 2), Zoom. Registration link.
Sep 14, 2020, 2-3 PM, R for HPC & GPU, Zoom. Registration link.
Sep 21, 2020, 2-3 PM, Intro to HPC, Zoom. Registration link.
Oct 5, 2020, 2-3 PM, General GPU, Zoom. Registration link.
Oct 5, 2020, 3-4 PM, Python Machine Learning for HPC (Python 3), Zoom. Registration link.
Oct 19, 2020, 2-3 PM, Intro to HPC, Zoom. Registration link.
Oct 19, 2020, 3-4 PM, Intro to Linux Command Line Interfaces, Zoom. Registration link.
Nov 2, 2020, 2-3 PM, Python Deep Learning for HPC (Python 4), Zoom. Registration link.
Nov 2, 2020, 3-4 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Nov 16, 2020 2-3 PM, Adapting R Applications for HPC and GPU. Registration link.
Nov 30, 2020, 2-3 PM, Intro to HPC, Zoom. Registration link.
Dec 1, 2020, 3-4 PM, Google Drive, Globus, & HPC, Zoom. Registration link.
Dec 7, 2020, 9-3 PM, Carpentry: Shell Novice, Zoom. Registration link.
Dec 14, 2020, 2-3 PM, Intro to HPC, Zoom. Registration link.

Summer 2020

July 6th, 2020 2pm-3pm Intro to the ASU Compute Supercomputer. Past workshop info here
June 1, 2020 2pm - Intro to the ASU Compute Supercomputer. Past workshop info here

Spring 2020

Google Drive Storage Solutions, May 25th, 2020 2pm-3pm. Past workshop info here.
Google Drive Storage Solutions, May 4th, 2020 2pm-3pm. Past workshop info here.
Adapting R Applications for HPC and GPU April 6th, 2020 2pm-3pm. Past workshop info here.
Adapting Matlab Applications for HPC and GPU March 23, 2020 2pm-3pm and 3pm-4pm. Past workshop info here.
Spring 2020 Python Workshop Series [Series Github Repository]

Fall 2019

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 the webapp, 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:

Batch submission of multiple single-threaded instances (e.g. parameter sweep)
Multithreading m file using "parfor" command
Confronting large datasets using distributed arrays or tall arrays
Exploiting Matlab functions ported to GPU
Multithreading C-code using OpenMP or writing cuda kernels and compiling with mex compiler to be called by Matlab
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