CC* Data Storage: FASTER Data Infrastructure to Accelerate Computing

CC* 数据存储：更快的数据基础设施以加速计算

• 批准号: 2322377
• 负责人: Lisa Perez
• 金额: $ 49.95万
• 依托单位: Texas A&M University
• 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: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322377&HistoricalAwards=false
• 关键词: CC; Data; Storage; FASTER; Infrastructure

Researchers using computational modeling and data-analytics approaches require access to cutting-edge Cyberinfrastructure (CI) that is coupled with high-performance storage infrastructure. To address this growing need, the shared, parallel, high-performance, and high-capacity storage system is coupled to the state-of-the-art National Science Foundation (NSF) funded Launch and composable FASTER computing clusters for use across 11 universities in The Texas A&M University System (TAMUS). Connected over a state-wide high throughput network, the storage infrastructure offers researchers with seamless access to cutting-edge computing accelerators, support for large datasets, accessible software frameworks, interactive computing approaches, web-applications for advanced computing, and a comprehensive researcher-training program. Research benefiting from this open-source storage system includes: artificial intelligence and machine learning, cybersecurity, health population informatics, bioinformatics, materials design, climate modeling, quantum computing architectures, biomedical imaging, geosciences, and workflows for data collected on instruments such as cryogenic electron microscopes.With an enrollment of over 150,000 students in the TAMUS, the storage system will support researchers at ten emerging research institutions, that includes 6 Hispanic Serving Institutions and the oldest Historically Black College University in Texas. The growing CI ecosystem will foster burgeoning programs in Data Sciences, facilitate new research collaborations around CI, and help build a cohesive vision for regional computing. The national research community will benefit through 20% of the storage space committed as part of the federated data sharing fabric PATh/OSDF, allocations on the FASTER cluster offered by NSF ACCESS, and direct connectivity to most major cloud service providers via Internet2.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.

使用计算建模和数据分析方法的研究人员需要访问与高性能存储基础架构相结合的尖端网络基础设施（CI）。为了满足这一日益增长的需求，共享，平行，高性能和高容量的存储系统与最先进的国家科学基金会（NSF）资助的发射和更快的计算集群相结合，可在得克萨斯州A＆M大学系统（Tamus）中使用11所大学。存储基础架构通过州范围的高吞吐量网络连接，为研究人员提供了无缝访问最先进计算加速器的访问，对大型数据集的支持，可访问的软件框架，交互式计算方法，高级计算的Web应用程序以及全面的研究人员培训计划。从这个开源存储系统中受益的研究包括：人工智能和机器学习，网络安全性，健康人群信息学，生物信息学，材料设计，气候建模，量子计算体系结构，生物医学成像，地球科学家，地球科学和工作流程，用于在仪器上收集的数据，例如cryogen electial Electon Microscopes.tty and witt Anderment and witt Anderment and witt Anderment and and witt Andam and and and and Anderment and and and and and and and and of te The Interment and Andam and and Anterment of 150,000,000,000,000,000,000,000,000,000，000年。新兴的研究机构，其中包括6个西班牙裔服务机构和德克萨斯州历史上最古老的黑人学院。不断增长的CI生态系统将促进数据科学的新兴计划，促进CI围绕CI的新研究合作，并帮助建立对区域计算的凝聚力。作为联合数据共享结构路径/OSDF的一部分，国家研究界将受益于20％的存储空间，NSF访问提供的更快群集的分配以及通过Internet通过Internet直接与大多数主要的云服务提供商进行连接。该奖项反映了NSF的法定任务，并通过评估基金会的范围和广泛的范围来进行评估。