CyberTraining: Pilot: HPC ED: Building a Federated Repository and Increasing Access through Cybertraining

网络培训：试点：HPC ED：构建联合存储库并通过网络培训增加访问

• 批准号: 2320977
• 负责人: Richard Knepper
• 金额: $ 30万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320977&HistoricalAwards=false
• 关键词: CyberTraining; Pilot; HPC; ED; Building

The pilot will allow for the discovery, identification, and sharing of High Performance Computing (HPC) training materials across a multitude of providers and users. While there are considerable resources for learning about HPC topics online, the overall environment is highly fragmented and challenging to navigate. The project aims to create a federated repository of training materials with metadata, quality assurance, and roadmaps that can be accessed by both computational resource providers and computational scientists to discover and use these materials. Training providers can list their resources through the repository (HPC ED) and make them accessible to a multitude of portals across the United States and beyond. Examples of organizations that will benefit are Kean University, a Hispanic-Serving Institution, which will train students to use their local computational cluster, and DesignSafe, a Natural Hazards Engineering Research Infrastructure facility, which will train their engineering community on how to use a multitude of HPC resources.HPC ED will pilot a federated training repository that can be leveraged by members of the cyberinfrastructure community to provide access to the best training resources while maintaining relationships with their user base. Throughout the cyberinfrastructure community, many resources are available to train faculty and young scholars about the successful utilization of computational resources for research. The problem that HPC ED addresses is that training materials abound, but with little information about the quality or relevance of offerings. The federated repository will identify and vet training resources from this broad set of offerings and provide metadata and characterization that support the successful discovery and utilization of training resources, and their incorporation into portals for research computing groups at universities, HPC centers, schools, domain-centered institutions, and elsewhere. Local centers will be able to include content identified in the repository and offer it to their local faculty members with local branding and identification side-by-side with their locally developed offerings. In turn, their training offerings can be vetted and shared with the broader computational science community, increasing their reach and impact.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.

该试点将允许在众多提供商和用户之间发现、识别和共享高性能计算（HPC）培训材料。虽然有相当多的资源可供在线学习HPC主题，但整体环境高度分散，难以驾驭。该项目旨在创建一个培训材料的联合存储库，包括元数据、质量保证和路线图，计算资源提供商和计算科学家都可以访问这些数据，以发现和使用这些材料。培训提供商可以通过存储库（HPC艾德）列出其资源，并使美国及其他地区的众多门户网站都可以访问这些资源。将受益的组织的例子是基恩大学，一个西班牙裔服务机构，将培训学生使用他们的本地计算集群，和设计安全，自然灾害工程研究基础设施，HPC艾德将试行一个联合培训库，网络基础设施社区的成员可以利用该库提供获得最好的培训资源，同时保持与用户群的关系。在整个网络基础设施社区中，有许多资源可用于培训教师和年轻学者成功利用计算资源进行研究。HPC艾德解决的问题是，培训材料比比皆是，但很少有关于产品质量或相关性的信息。联合存储库将从这一广泛的产品中识别和审查培训资源，并提供元数据和特征，以支持成功发现和利用培训资源，并将其纳入大学、HPC中心、学校、以域为中心的研究计算小组的门户网站。机构和其他地方。本地中心将能够包含存储库中识别的内容，并将其提供给本地教师，并将其与本地开发的产品一起提供给本地品牌和标识。反过来，他们的培训课程可以被审查，并与更广泛的计算科学社区分享，增加他们的覆盖面和影响力。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。