Julia for High-Performance Computing - JuliaCon 2022

Julia for High-Performance Computing - JuliaCon 2022

The Julia Programming Language via YouTube Direct link

: Tim Besard (Julia Computing): CUDA.jl: Update on new features and developments

5 of 13

5 of 13

: Tim Besard (Julia Computing): CUDA.jl: Update on new features and developments

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Julia for High-Performance Computing - JuliaCon 2022

Automatically move to the next video in the Classroom when playback concludes

  1. 1 : William F Godoy (ORNL) & Michael Schlottke-Lakemper (U Stuttgart/HLRS): Julia for High-Performance Computing
  2. 2 : Samuel Omlin (CSCS): Scalability of the Julia/GPU stack
  3. 3 : Simon Byrne (Caltech/CliMA): MPI.jl
  4. 4 : Q&A
  5. 5 : Tim Besard (Julia Computing): CUDA.jl: Update on new features and developments
  6. 6 : Julian Samaroo (MIT): AMDGPU.jl: State of development and roadmap to the future
  7. 7 : Q&A
  8. 8 : Albert Reuther (MIT): Supporting Julia Users at MIT LL Supercomputing Center
  9. 9 : Johannes Blaschke (NERSC): Supporting Julia users on NERSC’s “Cori” and “Perlmutter” systems
  10. 10 : Q&A
  11. 11 : Michael Schlottke-Lakemper (U Stuttgart/HLRS): Running Julia code in parallel with MPI: Lessons learned
  12. 12 : Ludovic Räss (ETH Zurich): Julia and GPU-HPC for geoscience applications
  13. 13 : Q&A, Discussion & Wrap up

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.