English(EN) FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetch

FoldPipe 系统简化了分子机器学习数据流

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-28 04:00

研究人员开发了 FoldPipe，这是一个 Python 编排层，旨在提高分子机器学习模型训练的效率。该系统解决了从远程存储检索大型分子图数据集的挑战，尤其是在内存受限的实例上。FoldPipe 的工作原理是在主进程处理当前数据碎片时，在后台线程中预取数据碎片，从而确保实时数据的有界缓冲区。 AI

影响该系统可以提高大型分子机器学习模型的训练效率，有可能加速药物发现和材料科学领域的研究。

排序理由该集群包含一篇详细介绍新的机器学习数据处理系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Dhiren Mukesh Khatri · 2026-08-28 04:00

FoldPipe：具有异步预取的有界远程流式传输原生分子碎片

arXiv:2608.27029v1 Announce Type: cross Abstract: Training molecular machine-learning models on ephemeral or memory-constrained accelerator instances can require repeatedly retrieving preprocessed molecular graphs from remote storage. FoldPipe is a lightweight Python orchestratio…