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 - SAVE THE DATE!
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.
GPU Day is April 3, 2024 - Register here!March
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GPU Day is April 3, 2024 - Register here!
Jetstream2: NSF’s Next Generation of Cloud Computing, April 11, 10:00 AM - 11:00 AM. Registration Link.
Aloe: The ASU HIPAA-Compliant Supercomputer, April 11, 11:15 AM - 12:15 PM. Registration Link.
Beginner's Guide to Research Computing, Zoom, April 17, 10:00 AM - 11:15 AM. Registration Link.
Simplifying Data Transfers with Globus, Zoom, April 17, 11:15 AM - 12:15 PM. Registration Link.
Supercharge Your Research!, Zoom, May 8, 9:00 AM - 9:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, May 8, 10:00 AM - 11:15 AM. Registration Link.
Intro to AI for GLAM (Galleries, Libraries, Archives, and Museums) Carpentry, Zoom, May 8, 11:30 AM - 12:30 PM. Registration Link.
Supercharge Your Research!, Zoom, June 19, 10:00 AM - 10:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, June 19, 11:00 AM - 12:15 PM. Registration Link.
Beginner's Guide to Research Computing, Zoom, July 10, 10:00 AM - 11:15 AM. Registration Link.
Simplifying Data Transfers with Globus, Zoom, July 10, 11:30 AM - 12:30 PM. Registration Link.
Schedule coming soon!
GPU Day 2023, Materials.
Research Computing Expo 2022, August 1-2, Recordings and Slides.
Research Computing Expo 2021, August 2 - 6, 2021, Materials.
Research Computing Expo 2023. October 3rd and 4th. Register here.
See a complete catalog of past workshops: Catalog of Past Workshops
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:
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 |
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: |
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 |
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 |
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. 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 |
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. 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 |
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. 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 |
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. 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 |
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. 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 |
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. 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 |
Full description coming soon. |