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N-Ways to GPU Programming BootcampBootcamp  

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Application Deadline: April 04, 20232023        

Bootcamp Dates: 13th - 14th April 2023

Summary

The NCI, in collaboration with OpenACC organization and NVIDIA, is hosting the NCI N-Ways to GPU Programming Bootcamp for 2 days on April 13-14, 2023. 

During this two-day online bootcamp, participants will learn about multiple GPU programming models and can choose the one that best fits their needs to run their scientific codes on GPUs. This bootcamp will cover an introduction to GPU programming using OpenACC, Standard Langauges, and CUDA C, and provides hands-on opportunities to learn how to analyze GPU-enabled applications using NVIDIA® Nsight™ Systems. This online bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.

Programing Language

C, Fortran

Level

Beginner, Intermediate

Compute Resources

Attendees will be given access to a GPU cluster for the duration of the bootcamp.

Prerequisites

• Basic experience with C/C++/Fortran. No GPU programming knowledge is required.​
• Presented by NCI Australia, the bootcamp is open to all current and prospective NCI users.
• This event has limited capacity, so please make sure that prerequisites are met before applying. 

Agenda

Day 0 (Cluster Dry Run Session) April 12, 2023: 11:00 am - 12:00 pm AEST

• 11:00 AM - 12:00 PM: Cluster Dry Run Session

Day 1 (Intro) April 13, 2023: 09:00 am - 04:00 pm AEST

• 09:00 AM - 09:15 AM: Welcome (Moderator)
• 09:15 AM - 09:30 AM: Connecting to a Cluster
• 09:30 AM - 10:00 AM: Introduction to GPU Computing (Lecture)
• 10:00 AM - 10:45 AM: Accelerating Standard C++ and Fortran with GPUs (Lecture and Lab)
• 10:45 AM - 11:00 AM: Break
• 11:00 AM - 12:30 PM: Directive Based Programming with OpenACC on GPU (Lecture and Lab)
• 12:30 PM - 01:30 PM: Lunch
• 01:30 PM - 04:00 PM: CUDA C/Fortran Programming (Lecture + Lab)

Day 2 (Challenge: Hands-on) April 14, 2023: 09:00 am - 12:30 pm AEST

• 09:00 AM - 12:00 PM: Teaching assistants are assigned to help with the code challenge
• 12:00 PM - 12:30 PM: Wrap up and QA

*The agenda is a preliminary draft and subject to change as the event date approaches.

Prerequisites

• Basic experience with C/C++/Fortran. No GPU programming knowledge is required.​
• Presented by NCI Australia, the bootcamp is open to all current and prospective NCI users.
• This event has limited capacity, so please make sure that prerequisites are met before applying. 

Registration link

Event Format

The 2-day Bootcamp will be hosted online in the Aust Eastern Standard Time (AEST) zone. All communication will be done through Zoom, Slack and email.

Contact us if you have any questions: training.nci@anu.edu.au 

End-to-End AI for Science Bootcamp

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Application Deadline: April 04, 2023

Bootcamp Dates: 19th - 21st April 2023

Summary

During this online bootcamp, participants will learn how to apply AI tools, techniques, and algorithms to real-life problems. You will study the core concepts of Physics Informed Neural Networks, how to build them, as well as how to measure and improve the accuracy of your models. Attendees will study through hands-on experience of building and improving deep learning models using a framework that uses the fundamental laws of physics to model the behavior of complex systems, and enables attendees to visualize the physically accurate outputs of the trained model in near real-time. This online bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.

Programing Language

Python

Level

Beginner, Intermediate

Compute Resources

Attendees will be given access to a GPU cluster for the duration of the bootcamp.

Prerequisites

• Basic experience with Python. No GPU programming or AI knowledge is required.
• Presented by NCI Australia, the bootcamp is open to all current and prospective NCI users.
• This event has limited capacity, so please ensure that prerequisites are met before applying. 

Agenda

Day 0 (Cluster Dry Run Session) April 18, 2023: 11:00 am - 12:00 pm AEST

• 11:00 AM - 12:00 PM: Cluster Dry Run Session

Day 1 (Intro) April 19, 2023: 09:00 am - 12:00 pm AEST

• 09:00 AM - 09:15 AM: Welcome (Moderator)
• 09:15 AM - 09:30 AM: Connecting to a cluster
• 09:30 AM - 10:00 AM: Introduction to NVIDIA Modulus (Lecture)
• 10:00 AM - 12:00 AM: Building Physics Infomed Neural Network using NVIDIA Modulus (Lecture and Lab)

Day 2 (Advanced) April 20, 2022: 09:00 am - 12:30 pm AEST

• 09:00 AM - 10:30 AM: Physics-Informed approach to an AI for Science application. (Lecture and Lab) 
• 10:30 AM - 12:15 AM: Data-driven approach to an AI for Science application. (Lecture and Lab)
• 12:15 PM - 12:30 PM: Wrap up and Q&A

Day 3 (Advanced) April 21, 2022: 09:00 am - 12:30 pm AEST

• 09:00 AM - 10:30 AM: Introduction to NVIDIA Omniverse: Basic Tools (Lecture)
• 10:30 AM - 10:45 AM: Break
• 10:45 AM - 12:15 PM: Application Visualization Using Omniverse Extension (Lab) 
• 12:15 PM - 12:30 PM: Wrap up and Q&A

*The agenda is a preliminary draft and subject to change as the event date approaches.

Prerequisites

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Registration link