Elements: RADICAL-Cybertools: Middleware Building Blocks for NSF's Cyberinfrastructure Ecosystem.

元素： RADICAL-Cyber​​tools：NSF 网络基础设施生态系统的中间件构建块。

• 批准号: 1931512
• 负责人: Shantenu Jha
• 金额: $ 60万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931512&HistoricalAwards=false
• 关键词: Elements; RADICAL; Cybertools; Middleware; Building

This project builds upon a previously funded middleware development effort by the Research in Advanced Distributed Cyberinfrastructure and Applications Laboratory (RADICAL) at Rutgers University; the previously developed middleware building blocks were known as RADICAL-Cybertools (RCT). In the current project, the team pursues a targeted set of developments, driven by the need to scale the number of software components, user, and supported platforms; and improve performance, engineering processes, and sustainability. The resulting capabilities will serve scientific applications in multiple domains, including software engineering, chemical physics, materials science, health science, climate science, drug discovery and particle physics.This project builds upon a prior prototype investment, which developed a pilot system for leadership-class HPC machines, and a Python implementation of SAGA, a distributed computing standard. The current effort is organized around three activities: - Extending RCT functionality to reliably support a range of novel applications at scale (examples include tightly coupling traditional HPC simulations with machine-learning methods); - Enhancing RCT to be ready to support new NSF systems, such as the Frontera supercomputing system and other new systems; - Prototyping a new component: a campaign manager for computational resource management. Data-driven approaches will be used to improve software development, engineering, and life-cycle management, and to enhance the long-term sustainability of RCT and the supported communities. The project includes use cases that are representative examples of the growing community that RCT engages and supports, such as the ATLAS high-energy physics project and the QCArchive project enabling large-scale force-field construction and physical property prediction.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目基于罗格斯大学（Rutgers University）的先进分布式网络基础设施和应用实验室（激进）的研究中的中间件开发工作；先前开发的中间件构建块被称为“激进 - 贝尔伯特木”（RCT）。 在当前项目中，团队追求一套有针对性的开发集，这是由于需要扩展软件组件，用户和支持平台的数量的驱动；并改善绩效，工程过程和可持续性。 最终的功能将为多个领域的科学应用提供服务，包括软件工程，化学物理学，材料科学，健康科学，气候科学，药物发现和粒子物理。该项目建立在先前的原型投资的基础上，该项目开发了用于领导力类HPC机器的试验系统，以及针对Saga的Python实施SAGA，分别具有计算机标准。 当前的努力是围绕三个活动组织的： - 扩展RCT功能以可靠地支持一系列新型应用程序（例如，将传统的HPC模拟与机器学习方法紧密耦合）； - 增强RCT准备支持新的NSF系统，例如Frontera SuperComputing System和其他新系统； - 制作新组件：计算资源管理的广告系列经理。数据驱动的方法将用于改善软件开发，工程和生命周期管理，并增强RCT和受支持社区的长期可持续性。 该项目包括RCT参与和支持的不断增长社区的代表性示例的用例，例如Atlas高能物理项目和QCarchive项目，实现了大规模的力场建筑和物理财产预测。这奖反映了NSF的立法任务，并被认为是通过基金会的智力优点和Broadite的评估来进行评估，并值得通过评估。