CC* Compute: NCShare Compute as a Service

杜克大学、北卡罗来纳州中央大学（NCCU）和戴维森学院之间的这种合作建立了一个共享的计算环境，该环境位于北卡罗来纳州的研究和教育网络提供商MCNC。共享计算环境支持一组通用的软件和科学驱动程序，优先使用戴维森，NCCU和其他北卡罗来纳州少数民族服务和较小的机构; OSG和杜克将有较低的优先级使用，如果过剩的能力存在。因此，参与机构的教师，他们经常兼顾高课程负荷，可以访问工具和服务，这些工具和服务可以简化定制计算系统的交付，以满足他们的研究需求，并使学生能够轻松访问强大的工具。该项目的共享计算环境包括768个CPU、6144 GB RAM和250 TB存储，并使用联合登录（支持Shibboleth）来支持NCCU和Davidson的大量不同用户。该环境在云模型中扩展到NC的其他少数民族服务和较小的学校，并包括其他登录选项。该项目利用了杜克在自动化配置、软件容器化和高级网络方面已经成熟的能力，加快了实施速度，并使该地区的研究人员和教育工作者能够快速获得计算和强大的软件环境。通过从一个共同的基础环境开始，然后支持可以满足参与机构的特定研究和教育需求的定制，该项目为学生提供了使用先进科学能力和软件环境的实践机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

This collaboration among Duke University, North Carolina Central University (NCCU), and Davidson College builds a shared computing environment housed at North Carolina's research and education network provider called MCNC. The shared computing environment supports a common set of software and science drivers, with priority use by Davidson, NCCU, and other North Carolina minority-serving and smaller institutions; OSG and Duke would have lower-priority use, if excess-capacity exists. As a result, faculty at participating institutions, who often juggle high course loads, have access to tools and services that ease the delivery of customized computing systems to meet their research needs and enable easy access to powerful tools for students. The project's shared computing environment comprises 768 CPUs, 6144GB of RAM, and 250TB of storage and uses federated logins (Shibboleth-enabled) to support a large and diverse set of users at NCCU and Davidson. The environment is extended in a cloud model to other minority-serving and smaller schools in NC and encompasses other options for logins. The project leverages Duke's already mature capability in automated provisioning, software containerization, and advanced networking, which accelerates implementation and makes computation and powerful software environments quickly available to researchers and educators in the region. By starting from a common base environment and then supporting customizations that can meet the specific research and education demands of participating institutions, this project provides hands-on opportunities for students to use advanced science capabilities and software environments. The result enhances STEM education at participating campuses by enabling advanced access to science capacity on those campuses.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.