一句话：提出 ECMF 平台以支持科学模型与工作流的长期可持续维护、自动评估和复用。
科学建模与仿真软件在 Sandia National Laboratories 广泛用于关键任务决策。模型日益以工作流形式表达，以简化科学分析步骤，但在数十年时间尺度上维持模型和工作流仍很困难；人工使用与缺乏维护会导致重复工作，并因人员和计算环境变化造成模型能力流失。为此，作者构建 Engineering Common Modeling Framework (ECMF)，一个科学模型可持续维护平台，支持随时间自动评估模型，并确保模型可发现、可重新访问、扩展和复用。本文报告 ECMF 的当前与计划能力，以及框架开发中的经验教训。
Scientific modeling and simulation software is ubiquitous at Sandia National Laboratories and is integral to providing empirical justification to critical mission decisions. Models are increasingly being expressed as workflows to simplify the many steps needed in scientific analyses but keeping these models and workflows alive for the decades-long timescales needed by Sandia remains a struggle. Additionally, the manual use and (lack of) maintenance of these models creates significant risks for duplicated work and model capability loss over time from changing personnel and computing environments. To address these issues, we are building the Engineering Common Modeling Framework (ECMF), a platform for scientific model sustainment at Sandia. ECMF enables the automatic evaluation of models over time and will ensure that models created at Sandia are discoverable and ready to be revisited, extended, and reused. In this paper, we report our current and planned capabilities as well as lessons learned from our framework development process.
@inproceedings{paperbot8406,
title = {Towards Long-Term Scientific Model Sustainment at Sandia National Laboratories},
author = {Christian Gilbertson and Reed Milewicz and Eric Berquist and Aaron Brundage and John Engelmann and Brian Evans and Nicholas Francis and Ernest Friedman-Hill and Samuel Grayson and Evan Harvey and Eric Ho and Edward Hoffman and Kevin Irick and Anagha Krishna and Aaron Moreno and Joshua Teves},
booktitle = {ASE},
year = {2024},
doi = {10.1145/3691620.3695276}
}