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English(EN) Adaptation of AI-accelerated CFD Simulations to the IPU platform

AI加速的CFD模拟适配IPU平台展现性能提升

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员已将AI加速的计算流体动力学（CFD）模拟适配到Graphcore的智能处理单元（IPU）上运行。该研究专注于训练机器学习模型来预测模拟状态，利用定制的TensorFlow和针对IPU-POD16平台的Poplar SDK。通过使用popdist库，他们在数据馈送方面实现了高达34%的加速，并且从2个IPU扩展到16个IPU显著提高了吞吐量。 AI

影响 展示了专用硬件在加速AI驱动的科学模拟方面具有潜力，提高了预测速度。

排序理由 这是一篇详细介绍AI模拟适配到特定硬件平台的科研论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI加速的CFD模拟适配IPU平台展现性能提升

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · P. Rosciszewski, A. Krzywaniak, S. Iserte, K. Rojek, P. Gepner ·

    AI加速CFD仿真的IPU平台适应性

    arXiv:2605.00462v1 Announce Type: cross Abstract: Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of \emph{AI for simulation}, where traditional numerical simulations are supported by artif…

  2. arXiv cs.AI TIER_1 English(EN) · P. Gepner ·

    AI加速CFD仿真的IPU平台适应性

    Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of \emph{AI for simulation}, where traditional numerical simulations are supported by artificial intelligence approaches. We focus specifical…

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