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: Kansas State University
• 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
• 起止时间: 2020-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018766&HistoricalAwards=false
• 关键词: CC; Compute; GP; ARGO; Great

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.

该项目创建了一个由大平原网络（GPN）领导的区域分布式开放科学网格（OSG）网关，通过开发专门的CI资源，劳动力培训以及交叉支持方法和协议来支持整个地区的计算和数据密集型研究。GPN增强型区域OSG网关（GP-ARGO）的主要目标是通过开发增强型分布式计算系统模型（包括设计、实施和培训），加速采用和体验先进的高吞吐量计算和数据资源。该项目使GPN地区的OSG站点数量增加了8倍，增加了至少2，048个专用于OSG的核心，并使OSG能够访问参与机构的42，000多个额外的现有核心。该项目实现了以下主要目标：1）提高校园意识，并采用先进的面向HTC的计算和数据资源，用于STEM研究和教育活动。2)增加校园研究计算和数据专业人员的数量和能力。3)提高校园高吞吐量计算网络基础设施资源的能力，如先进的计算系统，数据缓存和网络。4)使研究和教育网络基础设施的部署和运营成为可能，使科学更加高效，可信和可复制。该项目通过增加整个地区的本地CI资源数量，促进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数量的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。