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:
- 金额:$ 75万
- 依托单位:
- 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:
- 关键词:
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)将收购一个名为Hopper的高性能计算(HPC)系统。该HPC系统将支持所有多学科研究机构以及乔治·梅森大学(GMU)的众多部门和学术课程的高影响力研究和教育。在其他领域,Hopper将使研究和教育项目致力于推进运输和基础设施系统,地理和地理知识科学,天体物理学,社交媒体分析,以支持灾难信息,计算流体动力学,材料科学,自然危害研究,数据挖掘,计算机视觉,计算机视觉,自动化汽车,生物学贡献,生物学贡献,神经科学,经济学和经济学。 Hopper还将支持GMU的大规模高性能计算用户,他们将在开始生产的大型国家可用系统之前先开发,原型和基准其应用程序。该乐器将支持GMU的非常多样化的研究人员,教育工作者以及研究生和本科研究人员。它还将使从事夏季研究项目的高中学生,社区大学学生的梦想,他们的梦想,成年学习者寻求第一个大学学位或提高技能以实现他们的专业愿望。除了推进尖端的研究项目外,霍珀还将为下一代数据科学家,数学家,工程师和科学家做好准备,以满足国家蓬勃发展的创新经济的需求。将在中央进行管理并与整个Mason Research社区共享。所提出的系统基于开放式框架,可重新配置以支持梅森的用户需求范围。hopper将由4个OpenStack Managemant节点,35个标准计算节点,2个具有3TB存储器的高内存节点,与图形处理单位(GPUS)相互交流的6个节点(Inflid inflid inftry inflid inflid inflid)(IB)(ib)Switch(IB)(IB)(IB)(IB)(IB)(ib)Switch in Infiniband(IB)(IB)组成。节点和存储。互连网络将使用胖树配置中的HDR IB交换机,并使用端口拆分器为节点提供EDR IB连接。将有一个冗余25GBE网络基础结构,其中100GBE脊柱开关用于节点部署和虚拟机(VM)访问。该系统将具有384 TB的基于CEPH的存储空间,以备份VM部署,以及300 TB的高速低延迟BEEGFS存储空间用于HPC。 Hopper将支持传统和非传统(科学的长尾巴)高性能计算用户。这个新系统将取代GMU目前的HPC群集,该群集几乎无法跟上用户数量的增长,并没有旨在满足我们教职员工和学生社区现在要求多样性的使用模式的需求。该奖项反映了NSF的法定任务,反映了通过评估的诚实构成的构成商人的支持,这是诚实的支持。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A deep learning filter for the intraseasonal variability of the tropics
- DOI:10.1175/aies-d-22-0079.1
- 发表时间:2023-07
- 期刊:
- 影响因子:0
- 作者:C. Stan;Rama Sesha Sridhar Mantripragada
- 通讯作者:C. Stan;Rama Sesha Sridhar Mantripragada
Sequence-Structure Embeddings via Protein Language Models Improve on Prediction Tasks
- DOI:10.1109/ickg55886.2022.00021
- 发表时间:2022-11
- 期刊:
- 影响因子:0
- 作者:Anowarul Kabir;Amarda Shehu
- 通讯作者:Anowarul Kabir;Amarda Shehu
GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics
- DOI:10.1109/sp46215.2023.10179479
- 发表时间:2023-05
- 期刊:
- 影响因子:0
- 作者:Shu Wang;Xinda Wang;Kun Sun;S. Jajodia;Haining Wang;Qi Li
- 通讯作者:Shu Wang;Xinda Wang;Kun Sun;S. Jajodia;Haining Wang;Qi Li
Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks.
- DOI:10.1371/journal.pcbi.1011385
- 发表时间:2023-08
- 期刊:
- 影响因子:4.3
- 作者:
- 通讯作者:
Measure words are measurably different from sortal classifiers
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Yamei Wang;Géraldine Walther
- 通讯作者:Yamei Wang;Géraldine Walther
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Elise Miller-Hooks其他文献
Combinatorial auctions of railway track capacity in vertically separated freight transport markets
- DOI:
10.1016/j.jrtpm.2014.12.001 - 发表时间:
2015-05-01 - 期刊:
- 影响因子:
- 作者:
April Kuo;Elise Miller-Hooks - 通讯作者:
Elise Miller-Hooks
Constructs in infrastructure resilience framing – from components to community services and the built and human infrastructures on which they rely
- DOI:
10.1080/24725854.2022.2070801 - 发表时间:
2022-05 - 期刊:
- 影响因子:2.6
- 作者:
Elise Miller-Hooks - 通讯作者:
Elise Miller-Hooks
Assessing transportation infrastructure impacts from supply chain restructuring for increased domestic production of critical resources
- DOI:
10.1016/j.cie.2023.109116 - 发表时间:
2023-04-01 - 期刊:
- 影响因子:
- 作者:
Qiang Chen;Elise Miller-Hooks;Edward Huang - 通讯作者:
Edward Huang
Elise Miller-Hooks的其他文献
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{{ truncateString('Elise Miller-Hooks', 18)}}的其他基金
Conference: US-UK Workshop on Transformation in Urban Underground Infrastructure; 28-29 September 2023
会议:美英城市地下基础设施转型研讨会;
- 批准号:
2334084 - 财政年份:2023
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
RAPID: A Portal to Support Models for Assessing Strategies for Hospitals in the COVID-19 and other Pandemics - MASH-Pandemics
RAPID:支持评估医院应对 COVID-19 和其他流行病策略的模型的门户 - MASH-Pandemics
- 批准号:
2027624 - 财政年份:2020
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
NNA Track 1: Arctic impacts and reverberations of expanding global maritime trade routes
NNA 第 1 轨道:北极影响和不断扩大的全球海上贸易路线的影响
- 批准号:
1927785 - 财政年份:2019
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Resilience of Interdependent Infrastructure Systems: A CRISP/RIPS Grantees Workshop - September 25-26, 2018 - Fairfax/Arlington, VA
相互依赖的基础设施系统的弹性:CRISP/RIPS 受资助者研讨会 - 2018 年 9 月 25 日至 26 日 - 弗吉尼亚州费尔法克斯/阿灵顿
- 批准号:
1807998 - 财政年份:2018
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Data-enabled Decision-Making in Emerging Co-opetitive Transportation Markets with Ambiguity
具有模糊性的新兴合作竞争运输市场中的数据驱动决策
- 批准号:
1823474 - 财政年份:2018
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative Research: RIPS Type 2: Quantifying Disaster Resilience of Critical Infrastructure-based Societal Systems with Emergent Behavior and Dynamic Interdependencies
合作研究:RIPS 类型 2:量化具有紧急行为和动态相互依赖性的基于关键基础设施的社会系统的抗灾能力
- 批准号:
1722658 - 财政年份:2016
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Collaborative Research: RIPS Type 2: Quantifying Disaster Resilience of Critical Infrastructure-based Societal Systems with Emergent Behavior and Dynamic Interdependencies
合作研究:RIPS 类型 2:量化具有紧急行为和动态相互依赖性的基于关键基础设施的社会系统的抗灾能力
- 批准号:
1441224 - 财政年份:2014
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
CAREER: Robust On-Line Location and Routing for Urban Service Systems
职业:城市服务系统的强大在线定位和路由
- 批准号:
0350211 - 财政年份:2003
- 资助金额:
$ 75万 - 项目类别:
Standard Grant
Emergency Preparedness Planning and On-Line Evacuation of Large Buildings
大型建筑物的应急准备规划和在线疏散
- 批准号:
0348552 - 财政年份:2003
- 资助金额:
$ 75万 - 项目类别:
Continuing Grant
Emergency Preparedness Planning and On-Line Evacuation of Large Buildings
大型建筑物的应急准备规划和在线疏散
- 批准号:
0218621 - 财政年份:2002
- 资助金额:
$ 75万 - 项目类别:
Continuing Grant
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