CC* Data Storage: FASTER Data Infrastructure to Accelerate Computing

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设施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、并行、高性能和高容量的存储系统与最先进的美国国家科学基金会（NSF）资助的Launch和可组合的FASTER计算集群相结合，供德克萨斯州A M大学系统（TAMUS）的11所大学使用。通过全州范围的高吞吐量网络连接，存储基础设施为研究人员提供了对尖端计算加速器的无缝访问，对大型数据集的支持，可访问的软件框架，交互式计算方法，用于高级计算的Web应用程序以及全面的研究人员培训计划。受益于该开源存储系统的研究包括：人工智能和机器学习，网络安全，健康人口信息学，生物信息学，材料设计，气候建模，量子计算架构，生物医学成像，地球科学，以及低温电子显微镜等仪器收集数据的工作流程。TAMUS的学生人数超过15万，该存储系统将支持10个新兴研究机构的研究人员，其中包括6个西班牙裔服务机构和德克萨斯州历史最悠久的黑人学院大学。不断增长的CI生态系统将促进数据科学的蓬勃发展，促进围绕CI的新研究合作，并帮助建立区域计算的凝聚力愿景。国家研究界将受益于20%的存储空间承诺作为联邦数据共享结构PATh/OSDF的一部分，分配在NSF ACCESS提供的FASTER集群上，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进行评估，被认为值得支持的搜索.

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.