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

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用于在线学习HPC主题，但总体环境是高度分散的，难以驾驭。该项目旨在创建一个包含元数据、质量保证和路线图的培训材料联合存储库，计算资源提供者和计算科学家都可以访问这些存储库，以发现和使用这些材料。培训提供者可以通过存储库（HPC ED）列出他们的资源，并使它们可供美国和其他地区的众多门户访问。受益的组织有：为西班牙裔服务的肯恩大学（Kean University），它将培训学生使用当地的计算集群；DesignSafe，一个自然灾害工程研究基础设施设施，它将培训他们的工程社区如何使用大量的高性能计算资源。HPC ED将试点一个联合培训存储库，网络基础设施社区的成员可以利用该存储库，在与用户群保持关系的同时，提供对最佳培训资源的访问。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如何成功地利用计算资源进行研究。HPC ED解决的问题是，培训材料大量存在，但关于培训内容的质量或相关性的信息却很少。联合存储库将从这个广泛的产品集合中识别和审查培训资源，并提供支持成功发现和利用培训资源的元数据和特征，并将它们合并到大学、HPC中心、学校、以领域为中心的机构和其他地方的研究计算组的门户中。当地中心将能够包括存储库中确定的内容，并将其提供给当地的教职员工，并与当地开发的产品一起提供本地品牌和标识。反过来，他们的培训产品可以被审查并与更广泛的计算科学社区共享，从而增加他们的影响力和影响力。该奖项反映了美国国家科学基金会的法定使命，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。

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.