This is a most excellent place for technology news and articles.
Per the article, they just developed a faster algorithm for a specific type of material simulation.
Per the article, they ~~just~~ developed a faster algorithm for a specific type of material simulation.
You're underplaying it.
As per the article:
This has broad implications for industries that require detailed material analysis, including:
Aerospace and Defense: Improved modeling of material stress and failure in aircraft structures.
Engineering and Manufacturing: More efficient testing of materials for construction and industrial applications.
Military Research: Faster development of impact-resistant materials for defense systems.
Yes, exactly… For another example, the DeepSeek team developed their own replacement to CUDA with PTX (Parallel Thread Execution) a lower-level assembly-like language that allows for more granular optimisations of GPU performance offering 10X efficiency improvement recently as GPU sanctions were levied on China. This innovative approach not only challenges the dominance of CUDA in the AI landscape but also opens up new possibilities for optimizing GPU performance in various applications and this is what missing not only from those relying on Nvidia but its competitors whether AMD or Apple that prefers to have its own proprietary solutions.
Nvidia developed PTX, DeepSeek leveraged it to do some load balancing work they couldn't do in CUDA. They still also use CUDA.
DeepSeek team developed their own replacement to CUDA called PTX (Parallel Thread Execution) a lower-level assembly-like language that allows for more granular optimisations of GPU performance offering 10X efficiency improvement recently as GPU sanctions were levied on China
No they didn’t. NVIDIA created PTX
I write HPC and this really isn't that crazy. Its 800x vs a serial program ran on a CPU, it is only 100x a OpenMP (parallel CPU version).
While the gains are very impressive and show clear deep understanding of HPC programming, it is really nothing that out of the ordinary.
With proper memory optimisations and algorithm optimisations from a single thread to a dedicated GPU model a 100-1000x speed up is pretty normal.
Does this mean better crash physics in Beam.NG?
optimisation is back on the menu boys
Now let’s fix GitHub’s glitchy-ass JavaScript on pull requests!
No
It separates the boys from the femboys
Where can I find the separated femboys
