MRI: Acquisition of SeaWulf - A Reconfigurable Computer System for Research and Education

该项目部署了一个高性能的计算机系统，以加强斯托尼布鲁克大学（SBU）和整个纽约州的伙伴机构的研究，教育和培训活动。研究主题包括模拟风暴潮和相关的损害，以告知弹性沿海基础设施和应急响应的设计;基因组学分析，以探索生物多样性和如何保护生态系统的未来;分析计算机系统内的数据运动，以实现更节能的设计;大脑功能的可扩展模型的开发;提议用于聚变反应堆的材料的原子模拟;以及天文学基础的超新星和x射线爆发的模拟。SBU的60多个研究生和本科生课程经常使用该系统，这也为本科生研究创造了许多机会。通过与SBU全纳教育中心（CIE）和其他组织的合作，该工具的运作大大扩大了妇女，代表性不足的少数民族，残疾人和高中学生对科学和工程研究的参与。外部伙伴包括纽约州立大学系统和新罗罗谢尔学院的全女子文理学院。该仪器通过命令行和门户网站访问支持高级和入门级用户，并可重新配置以在批处理和云工作流之间移动资源。它包括通过InfiniBand连接的165个节点，共有4516个核心，总内存为20.7TB，并由快速的1 PB通用并行文件系统（GPFS）支持。具有成本效益、高性能和高生产力的计算加速和扩展了研究，并为研究项目和用户利用更大的国家计算设施做好准备。一旦投入使用，该系统将用于SBU的40个NSF赞助的研究项目的研究和培训，以及由工业或其他机构支持的多个其他项目，包括空军科学研究办公室（AFOSR），国家航空航天局（NASA），能源部（DOE）和纽约州。

The project deploys a high-performance computer system that enhances the research, education and training activities at Stony Brook University (SBU) and partner institutions across the state of New York. Research topics include modeling storm surges and associated damages to inform the design of resilient coastal infrastructure and emergency response; genomics analysis to explore biodiversity and how to conserve ecosystems into the future; analyzing data motion within computer systems to enable more energy efficient designs; development of scalable models of brain function; atomistic simulations of materials proposed for use in fusion reactors; and simulation of supernovae and x-ray bursts fundamental to astronomy. Over sixty graduate and undergraduate courses at SBU regularly use the system, which also creates numerous opportunities for undergraduate research. Through collaborations with the SBU Center for Inclusive Education (CIE) and other organizations, the instrument operates to substantially broaden participation in science and engineering research by women, underrepresented minorities, persons with disabilities, and high-school students. External partners include the SUNY system and the all-women School of Arts & Sciences at the College of New Rochelle. The instrument supports both sophisticated and entry-level users through command-line and web-portal access, and is reconfigurable to move resources between batch and cloud workflows. It includes 165 nodes connected via InfiniBand for a total of 4516 cores with 20.7TB total memory, and is supported by a fast 1PB General Parallel File System (GPFS). The cost-effective, high-performance and high-productivity computing accelerates and expands research, and prepares the research projects and users to exploit the larger national computing facilities. Once operational the system will be used for research and training by forty NSF-sponsored research projects at SBU, and by multiple other projects supported by industry or other agencies, including the Air Force Office of Scientific Research (AFOSR), the National Aeronautics and Space Administration (NASA), the Department of Energy (DOE), and the State of New York.