Genesis platform speeds plant research across labs and supercomputers
Exploring the Genesis Platform Capabilities to Accelerate Scientific Discovery in OPAL
Distributed, Parallel, and Cluster Computing
Summary
Scientific experiments that involve multiple labs and high-powered computers often need complicated tools to manage data and models, which can be hard to build from scratch. The authors show how the Genesis platform provides ready-made services to handle these tasks, making it easier to run experiments across different facilities. They tested the platform with a plant study that treated plants with nickel and connected a research lab with a supercomputer. Thanks to Genesis, tasks that used to take about twelve hours of manual work can now be done interactively in seconds or minutes.
What this means in practice
- •For high performance computing teams: Coordinate and run complex scientific workflows by connecting experimental labs to supercomputers using a platform that manages data, models, and execution across facilities.
- •For agricultural technology developers: Use integrated platforms to speed up plant growth experiments by automating data analysis and cross-site coordination, reducing manual effort dramatically.
Authors
Daniel Rosendo, Renan Souza, Kelsey Carter, John Lagergren, Frédéric Suter, Shelaine L. Curd, David Weston, Rafael Ferreira da Silva
Abstract
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.