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
(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]
Feb 3rd – HPC Introduction to Python – 2 to 3 PM and again from 3 to 4 PM Biodesign AL 10-14
Feb. 10th – HPC Data Handling with Python – 3 to 4 PM Biodesign AL 10-14
Feb. 24th – HPC Machine Learning with Python – 3 to 4 PM Biodesign AL10-14
Mar. 9th – HPC Deep Learning with Python – 3 to 4 PM Biodesign Auditorium
Fall 2019
10/7/19 2-3pm -- Machine Learning and GPUs with Python on the ASU Research Computing Supercomputer
8/26/19 2-3pm -- Intro to Python on the ASU Research Computing Supercomputer
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:
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:
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 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 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 |
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. |