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Tessera runtime enables molecular dynamics simulations at tens of millions of atoms

Researchers have developed Tessera, a distributed runtime system designed to significantly enhance the scale and efficiency of molecular dynamics simulations. By employing an equivariant message-passing Transformer architecture, Tessera can predict molecular behavior at a linear cost, enabling simulations of tens of millions of atoms. The system addresses communication bottlenecks by sorting atoms into equal-count shards and reusing CUDA Graphs, achieving high weak-scaling efficiency on large GPU clusters and enabling unprecedented simulation lengths for complex systems like the Norovirus capsid. AI

IMPACT Enables unprecedented scale in molecular simulations, potentially accelerating drug discovery and materials science research.

RANK_REASON Publication of a research paper detailing a new computational method and runtime system for molecular dynamics simulations. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Hugging Face Daily Papers →

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Tessera runtime enables molecular dynamics simulations at tens of millions of atoms

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Publication of a research paper detailing a new computational method and runtime system for molecular dynamics simulations. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

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

    Ab Initio Accuracy Beyond the Cutoff: Distributed Message-Passing Equivariant Attention at Tens-of-Millions-of-Atom Scale

    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…