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Summer 2024

Spring 2024

  • Supercharge Your Research!, Zoom, January 10, 9:00 AM - 9:45 AM. Registration Link.

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

  • How to Use the Linux Shell (Part 1), Zoom, January 10, 11:30 AM - 12:30 PM. Registration Link.

  • Applications and Uses of MATLAB, Zoom, January 17, 9:00 AM - 10:00 AM. Registration Link.

  • Python: Applications and Uses in Research Computing, Zoom, January 17, 10:15 AM - 11:15 AM. Registration Link.

  • Accelerating Research with GPUs, Zoom, January 24, 9:00 AM - 10:00 AM. Registration Link.

  • Managing Python Environments on Sol, Zoom, January 24, 10:15 AM - 11:15 AM. Registration Link.

  • Advanced Computing Techniques, Zoom, January 24, 11:30 AM - 12:30 PM. Registration Link.

  • R Carpentry for the Social Sciences (Day 1), Hybrid, January 26, 8:00 AM - 12:00 PM. Registration Link.

  • Advanced Research Acceleration with GPUs, Zoom, January 31, 9:00 AM - 10:00 AM. Registration Link.

  • Beyond Text: Harnessing the Potential of Large Language Models for Innovation, Zoom, January 31, 10:15 AM - 10:45 AM. Registration Link.

  • Python: Data Handling, Zoom, January 31, 11:00 AM - 12:00 PM. Registration Link.

  • GPU Day is April 3, 2024 - See materials here.

  • R Carpentry for the Social Sciences (Day 2), Hybrid, February 2, 8:00 AM - 12:00 PM. Registration Link.

  • R Carpentry for the Social Sciences (Day 3), Hybrid, February 5, 8:00 AM - 12:00 PM. Registration Link.

  • 2024 Linux Clusters Institute Introductory Workshop, In-Person, February 5 - 9, 8:00 AM - 5:00 PM. Registration Link.

  • Love Data Week, February 12 - 16, Registration Link.

  • Beginner's Guide to Research Computing, Zoom, February 14, 9:00 AM - 10:15 AM. Registration Link.

  • Introduction to R for Research Computing, Zoom, February 14, 10:30 AM - 11:30 AM. Registration Link.

  • Python: Machine Learning, Zoom, February 14, 11:45 AM - 12:45 PM. Registration Link.

  • Advanced Computing with R, Zoom, February 21, 9:00 AM - 10:00 AM. Registration Link.

  • Python: Deep Learning, Zoom, February 21, 10:15 AM - 11:15 AM. Registration Link.

  • Simplifying Data Transfers with Globus, Zoom, February 21, 11:30 AM - 12:30 PM. Registration Link.

  • Beginner's Guide to Research Computing, Zoom, February 21, 1:00 PM - 2:15 PM. Registration Link.

  • Beyond Text: Harnessing the Potential of Large Language Models for Innovation, Zoom, February 23, 1:00 PM - 1:30 PM. Registration Link.

  • Supercharge Your Research!, Zoom, February 28, 10:00 AM - 10:45 AM. Registration Link.

  • Beyond Text: Harnessing the Potential of Large Language Models for Innovation, Zoom, February 28, 11:00 AM - 11:30 AM. Registration Link.

  • Applications and Uses of MATLAB, February 28, 11:45 AM - 12:45 PM. Registration Link.

  • Introduction to R for Research Computing, Zoom, February 28, 1:30 PM - 2:30 PM. Registration Link.

  • Beginner's Guide to Research Computing, Zoom, March 13, 10:00 AM - 11:15 AM. Registration Link.

  • Accelerating Research with GPUs, Zoom, March 13, 11:30 AM - 12:30 PM. Registration Link.

  • Supercharge Your Research!, Zoom, March 20, 10:00 AM - 11:00 AM. Registration Link.

  • How to Use the Linux Shell - Part 1, Zoom, March 20, 11:15 AM - 12:15 PM. Registration Link.

  • How to Use the Linux Shell - Part 2, Zoom, March 27, 10:00 AM - 11:00 AM. Registration Link.

  • Advanced Computing Techniques, Zoom, March 27, 11:15 AM - 12:15 PM. Registration Link.

  • Accelerating Research with GPUs, Zoom, March 27, 1:00 - 2:30 PM. Registration Link.

  • Python: Machine Learning, Zoom, March 28, 1:00 - 2:00 PM. Registration Link.

  • GPU Day is April 3, 2024 - Registration is closed.

  • Beginner's Guide to Research Computing, Zoom, April 17, 10:00 AM - 11:00 AM. Registration Link.

  • Data Transfers and Migrating from Agave to Sol, Zoom, April 19, 1:00 PM - 2:00 PM. Registration Link.

  • Data Transfers and Migrating from Agave to Sol, Zoom, April 24, 10:00 AM - 11:00 AM. Registration Link.

  • How to Use the Linux Shell - Part 4, Zoom, April 24, 11:30 AM - 12:30 PM. Registration Link.

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

Fall 2022

Summer 2022

Spring 2022

Fall 2021

Summer 2021

Spring 2021

Fall 2020

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

Fall 2019

Workshop Descriptions

Click on the workshop summaries below to see descriptions!

 Description: HPC1: Intro to HPC

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

 Description: HPC2: Scaling for HPC

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

 Description: Intro to the Linux Command Line

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

 Description: Matlab for HPC & on GPU

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

 Description: R1: Intro to HPC -- R Intro for ASU's High Performance Computing Supercomputer

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

 Description: R2: Scaling code for HPC -- R Intro for ASU's High Performance Computing Supercomputer

This workshop will focus on approaches to porting R applications to ASU's Agave supercomputer. This is not an intro to R course. The intended audience member will have developed R 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. Multithreading R files using "doParallel" and “foreach” packages

  2. Exploiting R functions ported to GPU

  3. Implementing batchtools

  4. Confronting large datasets

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

 Description: GPU1: Intro to HPC -- General GPU on ASU's Research Computing Supercomputer

This workshop will explore different low and high level approaches to accelerating existing or developing research codes through the use of Graphical Processing Units (GPUs) on the ASU High Performance Computing supercomputer.

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

 Description: GPU2: OpenACC & Cuda for HPC

Full description coming soon. This workshop will detail low-level approaches, specifically use of OpenACC and Cuda, for accelerating existing or developing research codes with Graphical Processing Units (GPUs) on the ASU High Performance Computing supercomputer.

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

 Description: Google Drive, Globus, & HPC

The ASU Research Computing Supercomputer hosts a high-speed scratch filesystem to quickly compute results and also provides 100 GB of storage in users' own personal home directories. When these filesystems fill up, it's detrimental to the user and the community. Using Globus, this workshop will interactively teach users how to transfer data from their scratch or home directories to their UTO provided unlimited Google Drive.

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

 Description: Python 1: Intro for HPC

Introduction to using the popular high-level language Python on the Agave supercomputer. Python has seen rapid growth in Scientific Computing over the last decade most likely due to the powerful expressions the language provides. The popular scientific notebook provided by Jupyter will be utilized to demonstrate how Python may be leveraged to infer, compute, and conduct research on modern HPC environments. Suggested reading 1, suggested reading 2, suggested reading 3.

Link to workshop materials.

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

 Description: Python 2: Data Handling for HPC

Workshop on handling numerical and general data on Agave with Python's numpy and pandas libraries. These libraries provide high-level data objects like the array and DataFrame. These powerful objects allow for fast scientific computation and filtering of data, providing a high-level framework for predicting events or identifying patterns. Demonstrations will be given utilizing Jupyter notebooks. Suggested reading.

Link to workshop materials.

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

 Description: Python 3: Machine Learning for HPC

Introduces the capabilities of Python when applying modern algorithmic techniques for understanding a vast dataset. Makes use of pandas module to filter data to train a Machine Learning model within Jupyter. GPU acceleration using Numba also will be demonstrated. Suggested reading.

Link to workshop materials.

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

 Description: Python 4: Deep Learning for HPC

Introduction to more advanced Machine Learning techniques. Demonstrates the ability to set up and run sophisticated neural networks on Agave GPUs by using Python's PyTorch module. Tensorflow applications will also be demonstrated. Suggested reading.

Link to workshop materials.

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

 Description: Software Carpentry: Using the Shell on the ASU High Performance Computing Supercomputer

Introduction to more advanced Machine Learning techniques. Demonstrates the ability to set up and run sophisticated neural networks on Agave GPUs by using Python's PyTorch module. Tensorflow applications will also be demonstrated. Suggested reading.

Link to workshop materials.

Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including "high-performance computing" supercomputers). This tutorial will start you on a path towards using these resources effectively on ASU's Agave supercomputer.

The tutorial materials are hosted here: http://links.asu.edu/shell

 Description: Software Carpentry: R

Full description coming soon.

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