Chinese algorithm claimed to boost Nvidia GPU performance by up to 800X for advanced science applications

Comments

• Zarxrax@lemmy.world ⁨20⁩ ⁨hours⁩ ago

  Per the article, they just developed a faster algorithm for a specific type of material simulation.

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  • Isoprenoid@programming.dev ⁨17⁩ ⁨hours⁩ ago

    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.

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    • avieshek@lemmy.world ⁨16⁩ ⁨hours⁩ ago

      Yes, exactly… For another example, the 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. 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.

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• undefined@lemmy.hogru.ch ⁨11⁩ ⁨hours⁩ ago

  optimisation is back on the menu boys

  Now let’s fix GitHub’s glitchy-ass JavaScript on pull requests!

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  • DragonTypeWyvern@midwest.social ⁨3⁩ ⁨hours⁩ ago

    No

    It separates the boys from the femboys

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• pHr34kY@lemmy.world ⁨14⁩ ⁨hours⁩ ago

  Does this mean better crash physics in Beam.NG?

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