MRI: Acquisition of an Adaptive Computing Infrastructure to Support Compute- and Data-Intensive Multidisciplinary Research

MRI：收购自适应计算基础设施以支持计算和数据密集型多学科研究

基本信息

批准号：
2018631
负责人：
Elise Miller-Hooks
金额：
$ 75万
依托单位：
George Mason University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018631&HistoricalAwards=false
关键词：
MRI Acquisition Adaptive Computing Infrastructure

项目摘要

A high-performance computing (HPC) system, named Hopper will be acquired by George Mason University (GMU). This HPC system will support high-impact research and education across all the multidisciplinary research institutes, and numerous departments and academic programs at George Mason University (GMU). Among other areas, Hopper will enable research and education projects focused on advancing transportation and infrastructure systems, geography and geoinformation sciences, astrophysics, social media analytics to support disaster informatics, computational fluid dynamics, materials science, natural hazards research, data mining, computer vision, automated vehicles, bioinformatics, neuroscience, and economics. Hopper will also support GMU’s large-scale high-performance computing users who will develop, prototype, and benchmark their applications locally before starting production runs on large nationally available systems. The instrument will support a very diverse community of researchers, educators and graduate and undergraduate researchers at GMU. It will also enable research projects by high school students engaged in summer research projects, community college students whose dreams are to attain their four-year degree, adult learners seeking their first college degree or to upskill to realize their professional aspirations. In addition to advancing cutting-edge research projects, Hopper will be instrumental in preparing the next generation of data scientists, mathematicians, engineers and scientists to meet the needs of the Nation’s thriving innovation economy.Hopper will be managed centrally and shared with the entire Mason research community. The proposed system is based on an OpenStack framework and will be reconfigurable to support a diverse range of user needs at Mason. Hopper will consist of 4 OpenStack management nodes, 35 standard compute nodes, 2 high memory nodes with 3TB memory, and 6 nodes with graphics processing units (GPUs), all connected through InfiniBand (IB) switches to support low-latency high bandwidth communication between nodes and storage. The interconnect network will use HDR IB switches in a fat tree configuration and use port splitters to provide EDR IB connections to the nodes. There will be a redundant 25Gbe networking infrastructure with 100Gbe spine switches for node deployment and virtual machine (VM) access. The system will have 384 TB of Ceph based storage to back VM deployments, and 300 TB of high-speed low-latency BeeGFS storage for HPC use. Hopper will support both traditional as well as non-traditional (the long tail of science) high-performance computing users. This new system will replace GMU’s current HPC cluster, which is nearing the end of its useful life, is unable to keep up with growth in the number of users and was not designed to meet the needs of a diversity of usage modes now being requested by our faculty and student communities.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.

乔治梅森大学 (GMU) 将收购名为 Hopper 的高性能计算 (HPC) 系统。该 HPC 系统将支持乔治梅森大学所有多学科研究机构以及众多院系和学术项目的高影响力研究和教育。除其他领域外，霍珀还将支持专注于推进交通和基础设施系统、地理和地理信息科学、天体物理学、社交媒体分析的研究和教育项目，以支持灾害信息学、计算流体动力学、材料科学、自然科学。危险研究、数据挖掘、计算机视觉、自动驾驶汽车、生物信息学、神经科学和经济学还将支持 GMU 的大规模高性能计算用户，他们将在开始在全国范围内进行大规模生产之前在本地开发、原型化和基准测试其应用程序。该仪器将为 GMU 的研究人员、教育工作者以及研究生和本科生研究人员提供支持，它还将支持从事暑期研究项目的高中生和梦想实现四级目标的社区大学生的研究项目。年学位，成人寻求第一个大学学位或提高技能以实现其职业抱负的学习者除了推进尖端研究项目外，霍珀还将帮助培养下一代数据科学家、数学家、工程师和科学家，以满足国家的需求。蓬勃发展的创新经济。Hopper 将由 4 个 OpenStack 管理机构进行集中管理并与整个 Mason 研究社区共享。节点、35 个标准计算节点、2 个具有 3TB 内存的高内存节点以及 6 个具有图形处理单元 (GPU) 的节点，全部通过 InfiniBand (IB) 交换机连接，以支持节点和存储之间的低延迟高带宽通信互连网络。将在胖树配置中使用 HDR IB 交换机，并使用端口分配器为节点提供 EDR IB 连接。将有一个冗余 25Gbe 网络基础设施，其中包含用于节点部署的 100Gbe 主干交换机。该系统将拥有 384 TB 基于 Ceph 的存储来支持 VM 部署，以及用于 HPC 使用的 300 TB 高速低延迟 BeeGFS 存储。这个新系统将取代 GMU 当前的 HPC 集群，该集群已接近其使用寿命，无法跟上用户数量的增长。该奖项的设计初衷并不是为了满足我们的教师和学生社区现在所要求的多种使用模式的需求。该奖项反映了 NSF 的法定使命，并且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。