zz: NVDA 完了？
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shepherd17
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Re: zz: NVDA 完了？
之前一个类似的新闻，同一个作者 Zhang Tong
稿费估计赚翻了
https://www.scmp.com/news/china/science ... -computing
Chinese algorithm boosts Nvidia GPU performance 800-fold in science computing
A breakthrough by Chinese researchers could help solve complex problems in industries ranging from aerospace to bridge design
Zhang Tong
Beijing
Published: 7:00am, 30 Jan 2025
Updated: 8:00am, 30 Jan 2025
A high-performance algorithm that could solve complicated material design problems on consumer GPUs has been developed by Chinese researchers, achieving a groundbreaking 800-fold increase in speed over traditional methods.
Developed by a research team at Shenzhen MSU-BIT University, co-founded by Lomonosov Moscow State University and Beijing Institute of Technology, the new algorithm enhances the computational efficiency of peridynamics (PD), a cutting edge, non-local theory that solves difficult physical issues such as cracks, damage and fractures.
It opens up new possibilities for solving complex mechanical problems across various industries, including aerospace and military applications, on widely available chips that are low-cost and not subject to US sanctions.
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Re: zz: NVDA 完了？
Zhang Tong
Beijing
Published: 12:00pm, 12 Feb 2025
Updated: 12:21pm, 12 Feb 2025
Computer researchers in China using domestically made graphics processors have achieved a near-tenfold boost in performance over powerful US supercomputers that rely on Nvidia’s cutting-edge hardware, according to a peer-reviewed study.
The accomplishment points to possible unintended consequences of Washington’s escalating tech sanctions while challenging the dominance of American-made chips, long considered vital for advanced scientific research.
The researchers said that innovative software optimisation techniques enabled them to improve efficiency gains in computers powered by Chinese-designed graphics processing units (GPUs) to outperform US supercomputers in certain scientific computations.
While sceptics caution that software tweaks alone cannot bridge hardware gaps indefinitely, the development underscores Beijing’s broader strategy to mitigate “chokepoint” risks in critical technologies.
Scientists often rely on simulations to model real-world circumstances, such as designs to defend against flooding or urban waterlogging. But such reproductions, especially large-scale, high-resolution simulations, demand substantial time and computational resources, limiting the broader application of such an approach.
The challenge for Chinese scientists is even more daunting. For hardware, production of advanced GPUs like the A100 and H100 are dominated by foreign manufacturers. On the software side, US-based Nvidia has restricted its CUDA software ecosystem from running on third-party hardware, thus hindering the development of independent algorithms.
In search of a breakthrough, Professor Nan Tongchao with the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering at Hohai University in Nanjing, began exploring a “multi-node, multi-GPU” parallel computing approach based on domestic CPUs and GPUs. The results of their research were published in the Chinese Journal of Hydraulic Engineering on January 3.
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