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Tessera运行时支持千万原子规模的分子动力学模拟

研究人员开发了Tessera,一个分布式运行时系统,旨在显著提高分子动力学模拟的规模和效率。通过采用一种等变消息传递Transformer架构,Tessera能够以线性成本预测分子行为,从而实现对千万原子规模的模拟。该系统通过将原子分片到等计数分片并重用CUDA Graphs来解决通信瓶颈,在大规模GPU集群上实现了高弱扩展效率,并能够对Norovirus衣壳等复杂系统进行前所未有的模拟长度。 AI

影响 实现了分子模拟前所未有的规模,可能加速药物发现和材料科学研究。

排序理由 发表了一篇研究论文,详细介绍了用于分子动力学模拟的新计算方法和运行时系统。[lever_c_demoted from research: ic=1 ai=0.7]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Tessera运行时支持千万原子规模的分子动力学模拟

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发表了一篇研究论文,详细介绍了用于分子动力学模拟的新计算方法和运行时系统。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Ab Initio 精度超越截止点:十亿原子规模的分布式消息传递等变注意力机制

    Molecular dynamics predicts molecular motion from atomic forces and trajectory integration. Density functional theory (DFT) provides first-principles forces, but its $O(N^3)$ cost limits simulations to thousands of atoms; empirical force fields scale to millions but miss bond bre…