CC* Compute: Collaboration in Computing Infrastructure for Research and Education (CO-InResE)
CC* 计算:研究和教育计算基础设施合作 (CO-InResE)
基本信息
- 批准号:2201479
- 负责人:
- 金额:$ 39.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-15 至 2024-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Computational science forms an essential component of scientific inquiry. It contributes to the advancement of research and development and boosts discovery speed. High-Performance Computing (HPC) and High Throughput Computing (HTC) enable scientific inquiry that was unthinkable just a few years ago while allowing the contribution from a range of research. Such advancement is also accomplished through multidisciplinary and multi-institutional contributions. This project will acquire, deploy, and maintain a 16 node HPC cluster, and support computing-intensive research and training across a wide range of disciplines. The new cluster is available as a campus-wide shared resource to Langston University and researchers across Oklahoma and beyond. The project aims to 1) Improve campus awareness and adoption of advanced computing and data resources for Science, Technology, Engineering, and Mathematics (STEM) research and education activities; 2) Contribute to and enhance the current research computing resources at Langston University, the only Historically Black Colleges and University (HBCU) in the region; 3) Train a diverse cyberinfrastructure workforce; and 4) Actively contribute to the Open Science Grid gateway and the regional Cyberinfrastructure Consortium. The project facilitates a range of Computational and Data-Enabled Science and Engineering research activities across campus. In addition, under served undergraduate students interested in joining the cyberinfrastructure workforce will be mentored and trained on all aspects of the job and career. This project has potential to advance the regional infrastructure and research efforts by sustaining and increasing the number of local resources across the region. Thus, it aligns with well-established regional distributed support teams such as the OneOklahoma Cyberinfrastructure Initiative.The Program notes that this Area#4 in CC* was created explicitly to address computing needs at under served campuses. Langston University is a strong example, with an outdated computing resource and compelling needs for their proposed cluster. The project acquires a 16 node HPC cluster that will be deployed at Langston University. The proposed cluster, which consists of 768 Central Processing Unit (CPU) cores and 8 A100 Graphics Processing Unit (GPU) accelerators, will enhanced research and education at Langston University.This project is funded through the collaborative efforts of the Office of Advanced Cyberinfrastructure (OAC) and the Established Program to Stimulate Competitive Research (EPSCoR).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.
该奖项的全部或部分资金来自《2021年美国救援计划法案》(公法117-2)。计算科学是科学研究的重要组成部分。它有助于研究和开发的进步,并加快发现速度。高性能计算(HPC)和高吞吐量计算(HTC)实现了几年前不可想象的科学研究,同时允许一系列研究的贡献。这种进步也是通过多学科和多机构的贡献来实现的。该项目将购买、部署和维护16节点HPC群集,并支持跨多个学科的计算密集型研究和培训。兰斯顿大学和俄克拉荷马州及更远地区的研究人员可以使用这个新的集群作为校园内的共享资源。该项目旨在1)提高校园意识,并为科学、技术、工程和数学(STEM)研究和教育活动采用先进的计算和数据资源;2)促进和加强兰斯顿大学现有的研究计算资源,兰斯顿大学是该地区唯一的历史上唯一的黑人学院和大学(HBCU);3)培训多样化的网络基础设施劳动力;4)积极为开放科学网格门户和地区性网络基础设施联盟做出贡献。该项目促进了校园内一系列基于计算和数据的科学与工程研究活动。此外,有兴趣加入网络基础设施劳动力的服务不足的本科生将在工作和职业的方方面面接受指导和培训。该项目有可能通过维持和增加整个区域的地方资源数量来推动区域基础设施和研究工作。因此,它与成熟的地区性分布式支持团队(如OneOklahoma网络基础设施计划)保持一致。该计划指出,CC*中的这一区域#4是专门为满足服务不足的园区的计算需求而创建的。兰斯顿大学就是一个很好的例子,它的计算资源已经过时,而且对他们提议的集群的需求也很迫切。该项目购买了一个将部署在兰斯顿大学的16节点HPC群集。拟议的集群由768个中央处理器(CPU)核心和8个A100图形处理器(GPU)加速器组成,将加强兰斯顿大学的研究和教育。该项目由高级数字基础设施办公室(OAC)和既定的刺激竞争研究计划(EPSCoR)共同努力资助。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。
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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Franklin Fondjo-Fotou其他文献
Franklin Fondjo-Fotou的其他文献
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{{ truncateString('Franklin Fondjo-Fotou', 18)}}的其他基金
Collaborative Research: RII Track-2 FEC: Supporting rural livelihoods in the water-stressed Central High Plains: Microbial innovations for climate-resilient agriculture (MICRA)
合作研究:RII Track-2 FEC:支持缺水的中部高原地区的农村生计:气候适应型农业的微生物创新 (MICRA)
- 批准号:
2316297 - 财政年份:2023
- 资助金额:
$ 39.93万 - 项目类别:
Cooperative Agreement
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