The instruments for advanced research computing are here,
but are researchers ready?
Marie-Hélène Burle
June 1, 2023
Times are changing
So many opportunities
Huge amounts of computing power readily available
Open source on steroids
Explosion of tools, libraries, software, new programming languages
Powerful ML algorithms
Literate programming is finally mainstream
But…
So many opportunities
Huge amounts of computing power readily available
Open source on steroids
Explosion of tools, libraries, software, new programming languages
Powerful ML algorithms
Literate programming is finally mainstream
But…
- PIs often don’t have experience with new tools and are unable to help their students
- Departments are slow to add courses needed by students
- Some fields don’t have a strong computing culture
Our training
Topics
- Unix shell
- HPC
- Version control with Git/DataLad
- Scientific programming in R/Python/Julia
- Parallel computing in R/Julia/Chapel
- Deep learning with PyTorch
- Scientific visualization
- Containers/Alliance clouds/VMs
- Webscraping in R/Python
- GIS in R
- Scientific publishing with Quarto
A large team of 2 to develop the material, organize events, advertise, build magic castles, websites, and posters, handle registrations and emails, and teach1
53 webinars/workshops/courses taught since the start of 2023
Training website linking to all material
Mint (mint is not training) website written in Quarto with my content
Now …
one little damper …
Times are changing
Fast
