MRI: Acquisition of a Big Data and High Performance Computing System to Catalyze Delaware Research and Education

正如2015年总统国家战略计算计划中突出指出的那样，网络基础设施（CI）以主要方式推动科学，工程和商业的进步。 CI -由计算机，数据，网络和相关资源组成-使新的想法和产品能够“虚拟”探索，而无需构建昂贵的原型和物理实验。CI也为当今几乎所有的业务流程提供支持。 该项目在特拉华州大学（UD）实施了一个主要的计算和数据资源，使所有科学的进步和加速，并解决我们社会面临的重大挑战。通过与地区大学、学院、医疗机构和私营部门的合作，新资源还将促进大特拉华州地区的研究、开发和教育。收购的计算和存储系统将成为特拉华州网络基础设施的关键和变革性升级，为所有UD学院的大量教师以及更广泛的特拉华州内的学术和工业合作伙伴的用户开展研究和教育活动地区所请求的仪器设计用于实现具有不同软件和硬件需求的跨学科研究，包括但不限于扩展到大量处理器和数据集的问题，涉及大量数据传输，使用高级图形加速器，并需要新的操作模式。它还将有助于培训学生和研究人员的计算和数据密集型方法，并提高这些技能在大特拉华州地区。收购的仪器，称为达尔文（特拉华州先进的研究劳动力和创新网络），将补充正在进行的UD计划，重点是改善和增强网络，存储和计算基础设施。这一增加也将是及时的，提供了与新的UD数据科学研究所和由项目调查人员领导的高性能计算教师网络的巨大协同作用。该项目由高级网络基础设施办公室（OAC），综合活动办公室，激励竞争研究计划（EPSCoR）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。

Cyberinfrastructure (CI) drives progress in science, engineering, and business in a major way, as stated prominently in the 2015 presidential National Strategic Computing Initiative. CI - consisting of computer, data, networking and related resources - enables new ideas and products to be explored "virtually," without building expensive prototypes and physical experiments. CI also powers almost all business processes today. This project implements a major computational and data resource at the University of Delaware (UD), enabling and accelerating progress in all sciences and addressing grand challenges facing our society. Through partnerships with regional universities, colleges, health institutions and the private sector, the new resource will also boost research, development, and education in the greater Delaware area.The acquired compute and storage system will serve as a critical and transformative upgrade to Delaware's cyberinfrastructure, enabling research and educational activities for a large number of faculty across all UD colleges as well as for users from academic and industrial partners within the broader Delaware region. The requested instrumentation is designed to enable research broadly across disciplines with diverse software and hardware needs including, but not limited to, problems that scale to large numbers of processors and data sets, involve large data transfers, use advanced graphics accelerators, and require new operating modes. It will also serve to train students and researchers on computational and data-intensive methods and enhance these skills in the greater Delaware region. The acquisition of the instrumentation, called DARWIN (Delaware Advanced Research Workforce and Innovation Network), will complement ongoing UD initiatives focused on improving and enhancing networking, storage, and compute infrastructure. This addition will also be timely, providing great synergy with the new UD Data Science Institute and the faculty network in high-performance computing led by the project investigators.This project is jointly funded by the Office of Advanced Cyberinfrastructure (OAC), the Office of Integrative Activities, and the Established Program to Stimulate Competitive Research (EPSCoR).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.