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
基本信息
- 批准号:2320977
- 负责人:
- 金额:$ 30万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
飞行员将允许在许多提供商和用户的高性能计算(HPC)培训材料的发现,标识和共享。尽管有大量资源可以在线学习HPC主题,但整个环境却是高度分散的,并且具有挑战性。该项目旨在通过元数据,质量保证和路线图创建一个联合的培训材料存储库,计算资源提供者和计算科学家都可以访问,以发现和使用这些材料。培训提供商可以通过存储库(HPC ED)列出其资源,并使它们可以访问美国及其他地区的众多门户网站。 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资源,同时与其用户群保持关系。在整个网络基础设施社区中,许多资源可用于培训教师和年轻学者,以成功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,但几乎没有有关产品质量或相关性的信息。联合存储库将从这组广泛的产品中识别和审查培训资源,并提供元数据和表征,以支持培训资源的成功发现和利用,并将其纳入大学,HPC中心,学校,以域中以域中为中心的机构以及其他地方的研究计算集团的门户网站。当地中心将能够在存储库中列出内容,并将其与本地开发的产品并排识别提供给当地的教职员工。反过来,他们的培训产品可以与更广泛的计算科学界进行审查和分享,从而增加了其影响力和影响。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响评估的评估来获得支持的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Richard Knepper其他文献
Forward Observer system for radar data workflows: Big data management in the field
- DOI:
10.1016/j.future.2017.05.031 - 发表时间:
2017-11-01 - 期刊:
- 影响因子:
- 作者:
Richard Knepper;Matthew Standish - 通讯作者:
Matthew Standish
Panel Submission: Cyberinfrastructure Innovations supporting Research
小组提交的材料:支持研究的网络基础设施创新
- DOI:
10.1145/3657054.3657169 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Richard Knepper;Yu;Kerk Kee;Shan Xu - 通讯作者:
Shan Xu
The I-WRF Framework: Containerized Weather Modeling, Validation, and Verification
I-WRF 框架:容器化天气建模、验证和验证
- DOI:
10.1145/3569951.3597547 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Richard Knepper;S. Pryor;Bennett Wineholt;Melissa S Bukovsky;Jared A. Lee;Xin Zhou - 通讯作者:
Xin Zhou
Scaling HPC Education
扩展 HPC 教育
- DOI:
10.22369/issn.2153-4136/15/1/8 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
S. Mehringer;Mary P. Thomas;Kate Cahill;Charlie Dey;David Joiner;Richard Knepper;John;Jeaime H. Powell - 通讯作者:
Jeaime H. Powell
Richard Knepper的其他文献
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{{ truncateString('Richard Knepper', 18)}}的其他基金
Frameworks: Large Scale Atmospheric Research Using an Integrated WRF Modeling, Visualization, and Verification Container Framework (I-WRF)
框架:使用集成 WRF 建模、可视化和验证容器框架 (I-WRF) 进行大规模大气研究
- 批准号:
2209711 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
EAGER: An Actor-Network Investigation of the XSEDE Project
EAGER:XSEDE 项目的参与者网络调查
- 批准号:
2140226 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: Campus Compute Cooperative (CCC) Planning Grant Proposal
协作研究:校园计算合作社 (CCC) 规划拨款提案
- 批准号:
1748179 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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