NCI continues the partnership this year with Nvidia after a successful series of Bootcamps and Hackathons held in 2022. The Bootcamps focus on AI, GPU, parallel programming and speed up, and big data analysis using CPU and GPU capabilities. Bootcamps and Hackathons are exciting and unique ways for scientists and researchers to learn the skills needed to start quickly accelerating codes running on Gadi.
N-Ways to GPU Programming Bootcamp
Application Deadline: TBC
Bootcamp Dates: 13th - 14th April 2023
Summary
GPU Bootcamp is an exciting and unique way for scientists and researchers to learn the skills needed to start quickly accelerating codes on GPUs.
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, OpenMP, stdpar, 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
Attendees will be given access to a GPU cluster for the duration of the bootcamp.
Agenda
| Day 1 | Welcome (Moderator) |
| Connecting to a Cluster | |
Introduction to GPU Computing (Lecture) | |
| Accelerating Standard C++ and Fortran with GPUs (Lecture and Lab) | |
| Day 2 | Directive Based Programming with OpenMP and OpenACC on GPU (Lecture and Lab) |
| CUDA C/Fortran Programming (Lecture + Lab) | |
Teaching assistants are assigned to help with the code challenge | |
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
Application Deadline: TBC
Bootcamp Dates: 20th - 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 Deep Neural Networks, how to build Deep Learning models, as well as how to measure and improve the accuracy of your models. You will also learn essential data pre-processing techniques to ensure a robust Machine Learning pipeline. 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.
Agenda
| Day 1 | Welcome (Moderator) |
| Connecting to a Cluster | |
Introduction to GPU Computing (Lecture) | |
Introduction to AI (Lecture) | |
CNN Primer and Keras 101 (Lecture and Lab) | |
| Day 2 | Tropical cycle detection (Lab + Challenge) |
| Steady Flow Estimation (Challenge) | |
Wrap-up and QA |
*The agenda is a preliminary draft and subject to change as the event date approaches.
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 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
A catalogue of courses to potentially offer to the community can be found here.
Overview
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