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August 30, 1:00-2:00 PM, Simplifying Data Transfers with Globus. Registration link.
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October 18, 2:15-3:15 PM, Beginner’s Guide to Research Computing. Registration link.
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October 25, 2:15-3:15 PM, Simplifying Data Transfers with Globus. Registration link.
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November 1, 1:00-2:00 PM, Introduction to R for Research Computing. Registration link.
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November 1, 2:15-3:15 PM, Advanced Computing with R. Registration link.
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November 8, 1:00-2:00 PM, Accelerating Research with GPUs. Registration link.
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November 8, 2:15-3:15 PM, Advanced Research Acceleration with GPUs. Registration link.
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Spring 2024
January
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
February
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.
March
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, Beginner’s . Registration Link.
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April
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Research Computing Expo 2021
August 2 - 6, 2021, Recordings and Slides.
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December 13, 1:00-2:00 PM, Beginner’s Guide to Research Computing. Registration link.
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Summer 2024
May
Data Transfers and Migrating from Agave to Sol, Zoom, May 8, 11:00 AM - 12:00 PM. Registration Link.
The Editor's View: NSF CAREER Proposals, Zoom, May 8, 2:00 PM - 3:00 PM. Registration Link.
Data Transfers and Migrating from Agave to Sol, Zoom, May 10, 2:00 PM - 3:00 PM. Registration Link.
Supercharge Your Research!, Zoom, May 22, 10:00 AM - 10:45 AM. Registration Link.
Beginner's Guide to Research Computing, Zoom, May 22, 11:00 AM - 12:15 PM. Registration Link.
June
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.
July
Beginner's Guide to Research Computing, Zoom, July 17, 10:00 AM - 11:15 AM. Registration Link.
Fall 2024
Schedule coming soon!
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. Date to be announced.
Past Workshops
See a complete catalog of past workshops: Catalog of Past Workshops
Workshop Descriptions
Click on the workshop summaries below to see descriptions!
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This workshop will cover the Agave cluster 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 |
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This workshop covers more advanced topics for conducting research on ASU's high-performance computing clustersupercomputer, 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 |
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This workshop will focus on approaches to porting Matlab applications to a cluster supercomputer environment such as that of ASU's Agave clustersupercomputer. 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 |
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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 clustersupercomputer. 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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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 clustersupercomputer. 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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The ASU Research Computing Cluster 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 |
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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 clustersupercomputer. The tutorial materials are hosted here: http://links.asu.edu/shell |
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