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CC* Compute: GP-ARGO: The Great Plains Augmented Regional Gateway to the Open Science Grid

CC* Compute: GP-ARGO: The Great Plains Augmented Regional Gateway to the Open Science Grid
CC* 计算:GP-ARGO:大平原增强开放科学网格区域门户
批准号:
2018766
负责人:
Daniel Andresen
金额:
$37.86万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2023-06-30
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项目摘要

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中文摘要
翻译
该项目创建了一个由大平原网络(GPN)领导的地区性分布式开放科学网格(OSG)网关,通过开发专门的CI资源、劳动力培训和交叉支持方法和协议,支持整个地区的计算和数据密集型研究。GPN增强区域网关到OSG(GP-ARGO)的主要目标是通过开发增强型分布式计算系统的模型,包括设计、实施和培训,加速先进的高吞吐量计算和数据资源的采用和体验。该项目将GPN地区的OSG站点数量乘以8,增加了至少2,048个专门用于OSG的核心,并使OSG有可能接触到参与机构的42,000多个现有核心。该项目实现了以下主要目标:1)提高校园意识,为STEM研究和教育活动采用先进的面向HTC的计算和数据资源。2)增加校园科研计算和数据专业人员的数量和能力。3)提升先进计算系统、数据缓存、网络等校园高通量计算网络基础设施资源能力。4)促进研究和教育网络基础设施的部署和运营,以提高科学的效率、可信度和可重复性。该项目通过增加整个地区本地CI资源的数量,促进了区域基础设施和区域研究工作。GP-ARGO为分布式支持团队提供了一个独特的模式,特别是那些缺乏足够大量人员来支持关键领域的机构:OSG意识、HTC资源、研究人员支持、劳动力发展。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。
英文摘要
This project creates a regional distributed Open Science Grid (OSG) Gateway led by the Great Plains Network (GPN) to support computational and data-intensive research across the region through the development of specialized CI resources, workforce training, and cross-support methodologies and agreements. The GPN Augmented Regional Gateway to OSG’s (GP-ARGO) primary goal accelerates the adoption and experience of advanced high-throughput computing and data resources by developing a model for enhanced distributed computational systems, including design, implementation, and training. This project multiplies the number of OSG sites in the GPN region by 8, adding at least 2,048 cores dedicated to OSG use, and giving OSG potential access to over 42,000 additional existing cores at participating institutions. This project accomplishes the following key objectives: 1) Improves campus awareness and adoption of advanced HTC-oriented computing and data resources for STEM research and education activities. 2) Increasing the number and capabilities of campus research computing and data professionals. 3) Increasing the capabilities of campus high-throughput computing cyberinfrastructure resources such as advanced computing systems, data caches, and networks. 4) Enabling deployment, and operation of research and education cyberinfrastructure to make science more efficient, trusted, and reproducible.This project advances both the regional infrastructure and regional research efforts by increasing the number of local CI resources across the region. GP-ARGO provides a distinctive model for distributed support teams, in particular institutions that lack a critical mass of personnel to support the key areas: OSG awareness, HTC resources, researcher support, workforce development.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.
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