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

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以在线学习HPC主题，但整个环境高度分散，导航起来具有挑战性。该项目旨在创建一个具有元数据、质量保证和路线图的联合培训材料储存库，计算资源提供商和计算科学家都可以访问这些材料以发现和使用这些材料。培训提供商可以通过存储库(HPC Ed)列出他们的资源，并使美国和其他地方的许多门户网站都可以访问这些资源。受益组织的例子包括基恩大学(Kean University)和DesignSafe。基恩大学是一家为拉美裔服务的机构，它将培训学生使用他们当地的计算集群，DesignSafe是一家自然灾害工程研究基础设施，它将培训他们的工程社区如何使用大量HPC资源。HPC Ed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来提供访问最佳培训资源的途径，同时保持与用户群的关系。在整个网络基础设施社区，有许多资源可用于培训教师和年轻学者，使他们了解如何成功地利用计算资源进行研究。HPC Ed解决的问题是，培训材料比比皆是，但几乎没有关于课程质量或相关性的信息。联合存储库将从这一广泛的服务中识别和审查培训资源，并提供元数据和表征，以支持成功发现和利用培训资源，并将其整合到大学、HPC中心、学校、以领域为中心的机构和其他地方的研究计算小组的门户中。当地中心将能够包括存储库中标识的内容，并将其与当地开发的产品一起提供给当地教职员工，同时提供当地品牌和标识。反过来，他们的培训内容可以进行审查，并与更广泛的计算科学界共享，从而扩大他们的影响范围和影响力。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.