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NCI and NVIDIA are holding a series of bootcamps in 2022 with the focus on AI, GPU, parallel programming and speed up, big data analysis using CPU and GPU capabilities. Bootcamps and Hackathons are exciting and unique way for scientists and researchers to learn the skills needed to start quickly accelerating codes running on Gadi.
Previous Bootcamps (2022)
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NCI Australia Accelerated Data Science GPU Bootcamp
Application Deadline: March 29th, 2022
Bootcamp Dates: 1:00-4:00pm AEST, 20th and 21st April 2022
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. Held as a virtual event across two days (with three hour sessions) , participants will learn about RAPIDS suite of open source software libraries that gives Data Scientist the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
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Presented by NCI Australia, the bootcamp is open to all current and prospective NCI users.
Agenda:
Date: April 20, 2022 →1:00PM – 4:00PM Australian Eastern Standard Time
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- Using RAPIDS Dask : 1:00 AM - 2:00 PM (Lecture and Lab)
- Gene Expression Classification (Mini challenge) 2:00 PM - 3:30 PM (Lecture + Lab)
- Q&A 3:30 PM - 4:00 PM
Prerequisites
- Basic experience with Python and Data Science. 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
https://gpuhackathons.org/index.php/event/nci-australia-accelerated-data-science-gpu-bootcamp
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.
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Contact us if you have any questions: training.nci@anu.edu.au
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Distributed Deep Learning GPU Bootcamp
Application Deadline: April 15th, 2022
Bootcamp Dates: 1:00-4:00pm AEST, 4th and 5th May 2022
Summary
GPU Bootcamp is an exciting and unique way for data scientists and researchers to learn the skills needed to start quickly accelerating codes on GPUs. Held as a virtual event across three days (with three hour sessions), participants will be introduced to fundamentals of Distributed deep learning and given hands-on experience on methods that can be applied to Deep learning models for faster model training.
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- Distributed training with Horovod: 1:00 AM - 2:00 PM (Lecture and Lab)
- Distributed training with Tensorflow/Keras 2:00 PM - 3:00 PM (Lecture + Lab)
- Techniques for Faster Convergence 3:00 PM - 4:00 PM (Lecture + Lab)
Prerequisites
- Basic experience with Python and Deep Learning. 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
https://gpuhackathons.org/index.php/event/nci-australia-distributed-deep-learning-gpu-bootcamp
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.
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Contact us if you have any questions: training.nci@anu.edu.au
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NCI CUDA Python GPU Bootcamp
Application Deadline: April 27th, 2022
Bootcamp Dates: 1:00-4:00pm AEST, 18th and 19 May 2022
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. Held as a virtual event across two days (with three hour sessions), participants will learn about multiple GPU programming models using Python and can choose the one that best fits their needs to run their codes on GPUs.
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- Accelerating on GPUs using Numba: 1:00 PM - 2:00 PM (Lecture and Lab)
- Mini Application Challenge: 2:00 PM - 3:30 PM (Lab)
- Wrap-up and announcing winners: 3:30 PM - 4:00 PM
Prerequisites
- Basic experience with Python. 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
https://gpuhackathons.org/index.php/event/nci-cuda-python-gpu-bootcamp
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.
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Contact us if you have any questions: training.nci@anu.edu.au
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NCI-NSCC OpenACC GPU Bootcamp
Application Deadline: Jul 29th, 2022
Bootcamp Dates: Aug, 17th and 18th 2022 1.00pm-4.00pm (AEST)
Summary
This GPU Bootcamp is an exciting and unique way for scientists and researchers to learn the skills needed to start quickly accelerating codes on GPUs. Held as a virtual event across two days (two three-hour sessions), participants will learn how to write a portable parallel program that can run on multicore CPUs and accelerators like GPUs and how to apply incremental parallelization strategies using the OpenACC programming model to accelerate an example application that simulates heat distribution across a 2-dimensional metal plate and applying this knowledge to accelerate a mini-application.
Presented by NCI Australia and NSCC Singapore, the Bootcamp is open to all current and prospective NCI and NSCC users. If interested, please register .
Agenda
Date: Aug 17, 2022 →1.00pm-4.00pm Australian Eastern Standard Time
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- Introduction to Nsight Tools: 1.00pm-2.00pm (Lecture + Lab)
- Mini Application Challenge: 2.00pm–4.00pm (Lab)
Prerequisites
- Basic experience with C/C++ or Fortran. No GPU programming knowledge is required.
- This event has limited capacity, so please make sure that prerequisites are met before applying.
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.
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Contact us if you have any questions: training.nci@anu.edu.au
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NCI-Pawsey-NeSI CUDA GPU Bootcamp
Bootcamp Dates: Sep 7th-9th, 2002, 11.30am-2.30pm (AEST)
Summary
This GPU Bootcamp is an exciting and unique way for scientists and researchers to learn the skills needed to start quickly accelerating codes on GPUs. Held as a virtual event across three days (three three-hour sessions), participants will learn how to write intermediate to advance CUDA optimization techniques for code acceleration.
Presented by NCI, Pawsey Australia, NeSI New Zealand, the Bootcamp is open to all current and prospective NCI, Pawsey, and New Zealand HPC users. If interested, please register .
Agenda
Date: Sep 7, 2022 →11.30am–2.30pm Australian Eastern Standard Time
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- CUDA Thread Programming: 11.30am-12.30pm (Lecture + Lab)
- Warp Divergence
- Debugging and profiling: 12.30pm-2.30pm
Prerequisites
- Basic experience with C/C++ or Fortran.
- Knowledge of parallel computing fundamentals or basics of CUDA.
- This event has limited capacity, so please make sure that prerequisites are met before applying.
Event Format
The 3-day Bootcamp will be hosted online in the Aust Eastern Standard Time (AEST) zone. All communication will be done through Zoom, Slack and email.
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Overview
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