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technology·TechnologybyAvieshek

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

"Scarcity is the mother of invention" …looks like optimisation is back on the menu boys, something the Americans have forgotten whether for games, softwares, apps etc.

Chinese algorithm claimed to boost Nvidia GPU performance by up to 800X for advanced science applicationshttps://www.tomshardware.com/pc-components/gpus/chinese-algorithm-claimed-to-boost-nvidia-gpu-performance-by-up-to-800x-for-advanced-science-applicationsOpen linkView original on lemmy.world
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17 replies

lemmy.world

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

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Isoprenoidreply
programming.dev

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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Avieshekreply
lemmy.world

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.

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boonhetreply
lemm.ee

Nvidia developed PTX, DeepSeek leveraged it to do some load balancing work they couldn't do in CUDA. They still also use CUDA.

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Avieshekreply
lemmy.world

I am aware and hence the word optimisation (instead of simply pouring money by hardware).

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boonhetreply
lemm.ee

Your original comment was wrong on several counts and this one... just says nothing. I'm not sure what you're trying to say even.

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*Developed their own replacement using PTX to gain granular control over CUDA and hence the emphasis with optimisation as a user so all software, app, game and likewise developers take this practice into consideration again.

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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

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lemmy.hogru.ch

optimisation is back on the menu boys

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

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