3 GPU platforms and plenty of programming models – a while ago, I created a comparison table for the lab blog. For #SC23, I made it into a workshop paper for the #P3HPC workshop! I finally came around to write about it on the blog, from where you also can access the paper (which is non-open-access): https://doi.org/10.34732/xdvblg-0xiq5x
(I'm also requesting help from the community to keep everything up-to-date on GitHub: https://github.com/AndiH/gpu-lang-compat; #SC24 is coming up soon!) #HPC #GPU
Paper: Many Cores, Many Models – GPU Programming Model vs. Vendor Compatibility Overview

Various notes from the Accelerating Devices Lab (X-Dev) of Jülich Supercomputing Centre

JSC Accelerating Devices Lab

I'm going to #SC23 in two weeks to present two things:
1) Our tutorial on Multi-GPU programming; https://sc23.supercomputing.org/presentation/?id=tut140&sess=sess242
2) A #P3HPC workshop paper "Many Cores, Many Models"; https://sc23.supercomputing.org/presentation/?id=ws_p3hpc104&sess=sess441; which extends my model/device comparison on the blog from last year (https://doi.org/10.34732/xdvblg-r1bvif), a preprint is up on arXiv (https://doi.org/10.48550/arXiv.2309.05445).

[See all our JSC contributions at https://social.fz-juelich.de/@fzj_jsc/111290306496726992]

#HPC

Presentation • SC23

SC23
Trying to catch up on my reading list, but noticed the paper links on the #P3HPC website aren't working for me: https://p3hpc.org/workshop/2022/program/
Any advice @simonmcs?
2022 International Workshop on Performance, Portability & Productivity in HPC

Performance, Portability & Productivity in HPC

P3HPC