MRI: Acquisition of a computer system for Research and Education – Seawulf

MRI:购买用于研究和教育的计算机系统 – Seawulf

基本信息

  • 批准号:
    2215987
  • 负责人:
  • 金额:
    $ 48.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

This project by Stony Brook University, with broad benefit to other research institutions across the region, will purchase and operate for at least five years an advanced high-performance computer system. Focused upon enabling new frontiers in science and engineering, this will be the first deployment in an academic setting of multiple new high-performance computing technologies that directly address the major bottlenecks in high-performance computing and data-centric computing. A huge number of projects from various disciplines will benefit from this computational resource.The new computer will transform scientific and engineering computing with speedups per node approaching 4 to 8-fold for bandwidth-intensive applications. Many scientific and engineering applications important to the National Science Foundation and the campus are bandwidth limited, and with conventional memory technology simply cannot scale to use even a fraction of the cores within modern servers. After demonstrating need and benefit, access will be free to all Stony Brook faculty, students, and their external collaborators. The project will partner with Stony Brooks Women in Science and Engineering Program and Center for Inclusive Education to enable undergraduate women and minority graduate students to work with peers and faculty in computational science, and to receive training and access to advanced computational resources. Regionally, we will collaborate with minority-serving institutions and schools to motivate careers in science and engineering and provide access and training in research and classroom settings. Nationally, the project will leverage existing organizations and activities including National Science Foundation sponsored cyberinfrastructure activities, including the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support Broadening Participation program. All information like documentation, frequently asked questions, login instructions, data, code examples and much more will be gathered online at https://it.stonybrook.edu/services/high-performance-computing. The project website will be maintained during the whole project duration, enabling users to get fast and easy support for the system.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.
石溪大学(Stony Brook University)的这个项目将购买一台先进的高性能计算机系统,并运行至少5年,这将为该地区的其他研究机构带来广泛的好处。专注于在科学和工程领域开辟新领域,这将是在学术环境中首次部署多种新的高性能计算技术,直接解决高性能计算和以数据为中心的计算的主要瓶颈。来自不同学科的大量项目将受益于这种计算资源。这台新计算机将改变科学和工程计算,对于带宽密集型应用,每个节点的速度接近4到8倍。对于美国国家科学基金会和校园来说,许多重要的科学和工程应用都是带宽有限的,而传统的内存技术根本无法扩展到使用现代服务器中的一小部分核心。在证明了需求和利益之后,所有石溪大学的教师、学生和他们的外部合作者都可以免费访问。该项目将与石溪大学女性科学与工程项目和全纳教育中心合作,使本科女性和少数民族研究生能够与同龄人和教师一起研究计算科学,并接受培训并获得先进的计算资源。在地区层面,我们将与服务于少数族裔的机构和学校合作,鼓励科学和工程领域的职业发展,并在研究和课堂环境中提供机会和培训。在全国范围内,该项目将利用现有的组织和活动,包括国家科学基金会赞助的网络基础设施活动,包括先进的网络基础设施协调生态系统:服务和支持扩大参与计划。所有信息,如文档,常见问题,登录说明,数据,代码示例和更多的将收集在https://it.stonybrook.edu/services/high-performance-computing在线。项目网站将在整个项目期间进行维护,使用户能够快速方便地获得系统支持。该奖项反映了美国国家科学基金会的法定使命,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。

项目成果

期刊论文数量(0)
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Robert Harrison其他文献

LEVOSIMENDAN REDUCES MORTALITY IN PATIENTS WITH REDUCED EJECTION FRACTION UNDERGOING CARDIAC SURGERY: A META-ANALYSIS OF RANDOMIZED CLINICAL TRIALS
  • DOI:
    10.1016/s0735-1097(12)60960-7
  • 发表时间:
    2012-03-27
  • 期刊:
  • 影响因子:
  • 作者:
    Robert Harrison;Victor Hasselblad;Ricardo Levin;Rajendra Mehta;Robert Harrington;John Alexander
  • 通讯作者:
    John Alexander
Cancer Risk in the Semiconductor Industry: A Call for Action
半导体行业的癌症风险:呼吁采取行动
Detection of pion-induced radioactivity by autoradiography and positron emission tomography.
通过放射自显影和正电子发射断层扫描检测π介子诱发的放射性。
  • DOI:
    10.1118/1.596426
  • 发表时间:
    1989
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Hiroki Shirato;Robert Harrison;R. O. Kornelsen;Gabriel K. Y. Lam;Cristopher C. Gaffney;George B. Goodman;Ed Grochowski;Brian Pate
  • 通讯作者:
    Brian Pate
The in vitro identification of dimethyltryptamine (DMT) in mammalian brain and its characterization as a possible endogenous neuroregulatory agent.
哺乳动物大脑中二甲基色胺 (DMT) 的体外鉴定及其作为可能的内源性神经调节剂的表征。
  • DOI:
  • 发表时间:
    1977
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Samuel T. Christian;Robert Harrison;Elizabeth Quayle;J. Pagel;John A. Monti
  • 通讯作者:
    John A. Monti
Performance On Guideline Directed Medical Therapy Remains Low In A Cluster-randomized Trial: Results From CONNECT-HF
  • DOI:
    10.1016/j.cardfail.2022.03.114
  • 发表时间:
    2022-04-01
  • 期刊:
  • 影响因子:
    8.200
  • 作者:
    Bradi Granger;Adam Devore;Lisa Kaltenbach;Gregg Fonarow;Hussein Al-Khalidi;Nancy Albert;Eldrin Lewis;Javed Butler;Ileana Pina;Paul Heidenreich;Larry Allen;Clyde Yancy;Lauren Cooper;Michael Felker;Andrew McRae;David Lanfear;Robert Harrison;Maghee Disch;Dan Ariely;Julie Miller;Adrian Hernandez
  • 通讯作者:
    Adrian Hernandez

Robert Harrison的其他文献

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{{ truncateString('Robert Harrison', 18)}}的其他基金

Collaborative Research: Frameworks: Production quality Ecosystem for Programming and Executing eXtreme-scale Applications (EPEXA)
合作研究:框架:用于编程和执行超大规模应用程序的生产质量生态系统 (EPEXA)
  • 批准号:
    1931387
  • 财政年份:
    2019
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant
Category II : Ookami: A high-productivity path to frontiers of scientific discovery enabled by exascale system technologies
第二类:Ookami:通过百亿亿次系统技术实现科学发现前沿的高生产力之路
  • 批准号:
    1927880
  • 财政年份:
    2019
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Cooperative Agreement
SPX: Collaborative Research: Dependence Programming and Optimization of Scalable Irregular Numerical Applications
SPX:协作研究:可扩展不规则数值应用的依赖编程和优化
  • 批准号:
    1725428
  • 财政年份:
    2017
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant
NRT-DESE: Interdisciplinary Graduate Training to Understand and Inform Decision Processes Using Advanced Spatial Data Analysis and Visualization
NRT-DESE:使用高级空间数据分析和可视化来理解和指导决策过程的跨学科研究生培训
  • 批准号:
    1633299
  • 财政年份:
    2016
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant
MRI: Acquisition of SeaWulf - A Reconfigurable Computer System for Research and Education
MRI:收购 SeaWulf - 用于研究和教育的可重构计算机系统
  • 批准号:
    1531492
  • 财政年份:
    2015
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant
Collaborative Research: SI2-SSI: Task-Based Environment for Scientific Simulation at Extreme Scale (TESSE)
合作研究:SI2-SSI:基于任务的超大规模科学模拟环境 (TESSE)
  • 批准号:
    1450344
  • 财政年份:
    2015
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant
Novel immuno-proteomic strategies to develop a polyspecific, non-cold chain liquid snake antivenom with unparalleled sub-Saharan African efficacy
新型免疫蛋白质组学策略,用于开发具有无与伦比的撒哈拉以南非洲功效的多特异性、非冷链液体蛇抗蛇毒血清
  • 批准号:
    MR/L01839X/1
  • 财政年份:
    2014
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Research Grant
Scientific Software Innovation Institute for Computational Chemistry and Materials Modeling (S2I2C2M2) Software Summer School
计算化学与材料建模科学软件创新研究院(S2I2C2M2)软件暑期学校
  • 批准号:
    1450986
  • 财政年份:
    2014
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant
Knowledge Driven Configurable Manufacturing (KDCM)
知识驱动的可配置制造(KDCM)
  • 批准号:
    EP/K018191/1
  • 财政年份:
    2013
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Research Grant
Collaborative Research: A Scientific Software Innovation Institute for Computational Chemistry and Materials Modeling (S2I2C2M2)
合作研究:计算化学和材料建模科学软件创新研究所(S2I2C2M2)
  • 批准号:
    1341315
  • 财政年份:
    2012
  • 资助金额:
    $ 48.5万
  • 项目类别:
    Standard Grant

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