The instruments for advanced research computing are here,
but are researchers ready?

Author

Marie-Hélène Burle

Content from the talk slides for easier browsing.

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…

  • 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 teach

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.

Footnotes

  1. Megan and James are very supportive↩︎