探索 Genesis 平台能力以加速 OPAL 中的科学发现

中文摘要 AI 辅助

自主、跨设施的科学需要任何单个项目都不应自行构建的能力：对长期运行服务的托管执行、向远程计算系统进行模型的分版本分发、对大型语言模型的受控访问、用于实验数据的共享基础以及端到端的溯源。美国能源部通过美国科学云交付的 Genesis 任务平台将这些作为可复用服务提供。本文报告了 Genesis 平台如何实现跨设施实验并加速科学发现。我们以自主实验室编排平台的植物表型分析工作流为例：它将橡树岭国家实验室的高级植物表型分析实验室与 Frontier 超级计算机相结合。在为期 40 天的镍处理活动中，所产生的工作流用返回时间在几秒到几分钟内的交互式查询取代了大约十二小时的人工分析。

英文摘要

Autonomous, cross-facility science requires capabilities that no individual project should have to build for itself: managed execution for long-lived services, versioned distribution of models to remote compute systems, governed access to large language models, a shared substrate for experimental data, and end-to-end provenance. The U.S. Department of Energy Genesis Mission platform, delivered through the American Science Cloud, provides these as reusable services. This paper reports how the Genesis platform enables cross-facility experiments and accelerates scientific discovery. We explore the plant phenotyping workflow of the Orchestrated Platform for Autonomous Laboratories as the exemplar: it couples Oak Ridge National Laboratory's Advanced Plant Phenotyping Laboratory with the Frontier supercomputer. In a 40-day nickel-treatment campaign, the resulting workflow replaced roughly twelve hours of manual analysis with interactive queries returning in seconds to minutes.

发表机构

• Oak Ridge National Laboratory（橡树岭国家实验室）

机构由 AI 辅助整理，请以论文原文为准。