XSEDE: eXtreme Science and Engineering Discovery Environment

XSEDE:极限科学与工程发现环境

基本信息

  • 批准号:
    1053575
  • 负责人:
  • 金额:
    $ 12113.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Cooperative Agreement
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-07-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

1053575Towns XSEDE: Enabling New Digital ScienceThe eXtreme Science and Engineering Discovery Environment (XSEDE) partnership will develop an unprecedented, comprehensive advanced digital services cyberinfrastructure (CI) to enable transformative open science and engineering research and innovative training and educational programs. The goal of XSEDE is to offer users tremendous capabilities with maximum productivity, enabling them to advance and share knowledge across domains. The XSEDE architecture, engineering, operations, support, and education activities are co-designed by an unparalleled team to achieve this goal, far surpassing TeraGrid in usability, reliability, capability, performance, and security?and ultimately, in user productivity and science impact. XSEDE will enable scientists, engineers, and educators to exploit powerful digital services and social networking environments to support knowledge exchange and advance understanding across domains. Just a few examples of the advances to science and society include: accurately predicting earthquake damage to urban structures; modeling of protein and nucleic acid folding and structure prediction to understand how drugs interact with target macromolecules to improve health care; developing novel designs for nanoscale microprocessors; advancing scientific understanding of plants to provide a safe and sustainable food supply, as well as benefits in renewable energy; and simulating pandemic spread to create a virtual laboratory where policy decisions such as school closure, vaccine deployment, and quarantine can be explored. The XSEDE partnership will fulfill this vision by creating the most advanced, capable, and robust advanced digital cyberinfrastructure in the world?and supporting it with the most expert and experienced team of CI professionals. XSEDE will accelerate open scientific discovery and enable researchers, educators, and students across disciplines and across campuses to conduct transformational research efforts and innovative education programs. XSEDE will create strong ties with campus personnel spanning technology, workforce development, and policy issues to enhance CI for research and education. Researchers will use XSEDE directly, from campus and personal systems, from other high-end centers and cyberinfrastructure resources, and via science gateways and discovery environments. XSEDE users will be backed by an integrated national user support program offering an array of services from experts in the application of technology to advance science and engineering, including extensive training and advanced user support and collaboration. XSEDE?s governance model will include participation by these users as stakeholders, while providing centralized management to ensure robustness and to facilitate rapid responses to new issues and opportunities. XSEDE will carry out a multifaceted Training, Education, and Outreach Services (TEOS) program to raise the competency of the present and future scientific community. XSEDE will work proactively with the nation?s educational institutions to create a significantly larger and more diverse STEM workforce. TEOS will broaden participation by working with under-represented faculty and students to engage larger numbers of under-represented individuals from among minority-serving and EPSCoR institutions, women, and people with disabilities. TEOS will disseminate best practices, lessons learned, and quality materials and will leverage external partnerships to scale-up successful practices. XSEDE will leverage the XD Technology Insertion Service (TIS) activities?already awarded to the XSEDE team?into continuously advancing CI and will work closely with the Technology Audit Service (TAS) team to ensure that XSEDE can be effectively evaluated and improved. These activities will ensure that XSEDE is robust, easy to use, performing as designed, and evolving constantly to meet the growing demands of scientific research and researchers. Advancing science with the most powerful, diverse, and integrated set of advanced digital services ever?and linking that to other CI projects and to campuses and local research infrastructure?is unprecedented. No engineering and technology plan can anticipate all contingencies and future opportunities. The successful realization of NSF?s vision for XD will require deep expertise and vast experience, as well as focused and passionate effort. The XSEDE team is uniquely experienced and qualified for this incredible opportunity.
1053575Town XSEDE:支持新的数字科学极端科学与工程发现环境(XSEDE)的合作伙伴关系将开发一个前所未有的、全面的先进数字服务网络基础设施(CI),以实现变革性的开放式科学与工程研究以及创新的培训和教育计划。XSEDE的目标是以最大的生产力为用户提供巨大的功能,使他们能够跨域发展和共享知识。XSEDE架构、工程、运营、支持和教育活动是由一个无与伦比的团队共同设计的,以实现这一目标,在可用性、可靠性、功能、性能和安全性方面远远超过TeraGrid,最终在用户生产力和科学影响方面也是如此。XSEDE将使科学家、工程师和教育工作者能够利用强大的数字服务和社交网络环境来支持知识交流和促进跨域理解。科学和社会进步的几个例子包括:准确预测地震对城市结构的破坏;蛋白质和核酸折叠建模和结构预测,以了解药物如何与目标大分子相互作用以改善医疗保健;开发纳米级微处理器的新设计;促进对植物的科学理解,以提供安全和可持续的食品供应,以及可再生能源的好处;以及模拟流行病蔓延,以创建一个虚拟实验室,在其中可以探索诸如学校关闭、疫苗部署和检疫等政策决策。XSEDE合作伙伴关系将通过创建世界上最先进、最有能力和最强大的先进数字网络基础设施,并由最专业和最有经验的CI专业团队为其提供支持,来实现这一愿景。XSEDE将加快开放的科学发现,使研究人员、教育工作者和学生能够跨学科和跨校园进行变革性研究努力和创新教育计划。XSEDE将在技术、劳动力发展和政策问题上与校园人员建立牢固的联系,以增强研究和教育的CI。研究人员将直接从校园和个人系统,从其他高端中心和网络基础设施资源,以及通过科学网关和发现环境使用XSEDE。XSEDE用户将得到一个综合的国家用户支持计划的支持,该计划提供一系列来自应用技术促进科学和工程的专家的服务,包括广泛的培训和高级用户支持与合作。XSEDE-S治理模式将包括这些用户作为利益相关者的参与,同时提供集中管理,以确保健壮性,并促进对新问题和新机遇的快速反应。XSEDE将开展一个多方面的培训、教育和外联服务(TEOS)计划,以提高现在和未来科学界的能力。XSEDE将与国家-S教育机构积极合作,创造一支规模更大、更多样化的STEM劳动力队伍。TEOS将通过与代表不足的教职员工和学生合作,从少数群体服务机构和EPSCoR机构、妇女和残疾人中吸引更多代表不足的个人,从而扩大参与。技术和经济合作组织将传播最佳做法、经验教训和优质材料,并将利用外部伙伴关系扩大成功做法。XSEDE将利用已经授予XSEDE团队的XD技术插入服务(TIS)活动来持续推进CI,并将与技术审计服务(TAS)团队密切合作,以确保XSEDE能够得到有效的评估和改进。这些活动将确保XSEDE健壮、易于使用、按设计执行并不断发展,以满足科学研究和研究人员日益增长的需求。用有史以来最强大、最多样化和最集成的一套先进的数字服务来推动科学发展--并将其与其他CI项目以及校园和当地研究基础设施联系起来--是前所未有的。任何工程和技术计划都不能预见所有的意外情况和未来机会。成功实现S对XD的愿景需要深厚的专业知识和丰富的经验,以及专注和热情的努力。XSEDE团队是独一无二的经验丰富的团队,有资格获得这个令人难以置信的机会。

项目成果

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John Towns其他文献

Cyberinfrastructure Usage Modalities on the TeraGrid
TeraGrid 上的网络基础设施使用方式
NEESGgrid: A Distributed Virtual Laboratory for Advanced Earthquake Experimentation and Simulation
Project Description: XSEDE: eXtreme Science and Engineering Discovery Environment
项目描述:XSEDE:极限科学与工程发现环境
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    John Towns;P. Andrews;J. Boisseau;R. Roskies;Janet O. Brown;Kathlyn Boudwin;T. Cockerill;A. Grimshaw;P. Kovatch;Scott D. Lathrop;Michael J. Levine;S. Sanielevici;D. Stanzione;K. Wallnau
  • 通讯作者:
    K. Wallnau
Enabling real-time multi-messenger astrophysics discoveries with deep learning
利用深度学习实现实时多信使天体物理学发现
  • DOI:
    10.1038/s42254-019-0097-4
  • 发表时间:
    2019-10-03
  • 期刊:
  • 影响因子:
    39.500
  • 作者:
    E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier M. Antelis;Etienne Bachelet;G. Bruce Berriman;Federica B. Bianco;Rahul Biswas;Matias Carrasco Kind;Kyle Chard;Minsik Cho;Philip S. Cowperthwaite;Zachariah B. Etienne;Maya Fishbach;Francisco Forster;Daniel George;Tom Gibbs;Matthew Graham;William Gropp;Robert Gruendl;Anushri Gupta;Roland Haas;Sarah Habib;Elise Jennings;Margaret W. G. Johnson;Erik Katsavounidis;Daniel S. Katz;Asad Khan;Volodymyr Kindratenko;William T. C. Kramer;Xin Liu;Ashish Mahabal;Zsuzsa Marka;Kenton McHenry;J. M. Miller;Claudia Moreno;M. S. Neubauer;Steve Oberlin;Alexander R. Olivas;Donald Petravick;Adam Rebei;Shawn Rosofsky;Milton Ruiz;Aaron Saxton;Bernard F. Schutz;Alex Schwing;Ed Seidel;Stuart L. Shapiro;Hongyu Shen;Yue Shen;Leo P. Singer;Brigitta M. Sipocz;Lunan Sun;John Towns;Antonios Tsokaros;Wei Wei;Jack Wells;Timothy J. Williams;Jinjun Xiong;Zhizhen Zhao
  • 通讯作者:
    Zhizhen Zhao
The Professionalization of Cyberinfrastructure Personnel?
网络基础设施人员的专业化?
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    N. Berente;S. Ahalt;James B. Bottum;D. Brunson;J. Cutcher;J. Howison;J. King;Henry Neeman;John Towns;Nancy Wilkins;Susan J. Winter
  • 通讯作者:
    Susan J. Winter

John Towns的其他文献

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{{ truncateString('John Towns', 18)}}的其他基金

ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI)
ACO:促进科学发现的开放 CI 生态系统 (OpenCI)
  • 批准号:
    2138296
  • 财政年份:
    2022
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Cooperative Agreement
BIGDATA: IA: Collaborative Research: Understanding the Financial Market Ecosystem
BIGDATA:IA:协作研究:了解金融市场生态系统
  • 批准号:
    1838215
  • 财政年份:
    2018
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Standard Grant
XSEDE 2.0: Integrating, Enabling and Enhancing National Cyberinfrastructure with Expanding Community Involvement
XSEDE 2.0:通过扩大社区参与来整合、启用和增强国家网络基础设施
  • 批准号:
    1548562
  • 财政年份:
    2016
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Cooperative Agreement
Evaluating and Enhancing the eXtreme Digital (XD) Cyberinfrastructure for Maximum Usability and Science Impact
评估和增强极限数字 (XD) 网络基础设施,以实现最大可用性和科学影响
  • 批准号:
    0946505
  • 财政年份:
    2010
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Cooperative Agreement
Ember: a critical science and engineering enabling SMP resource
Ember:支持 SMP 的关键科学和工程资源
  • 批准号:
    1012087
  • 财政年份:
    2010
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Continuing Grant
Planning for XSEDE: the eXtreme Science and Engineering Discovery Environment
规划 XSEDE:极限科学与工程发现环境
  • 批准号:
    0941686
  • 财政年份:
    2009
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Standard Grant
Graduate Research Fellows Cyberinfrastructure Resources Workshop
研究生研究员网络基础设施资源研讨会
  • 批准号:
    0750408
  • 财政年份:
    2007
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Standard Grant
SCI: TeraGrid Resource Partner
SCI:TeraGrid 资源合作伙伴
  • 批准号:
    0504064
  • 财政年份:
    2005
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Cooperative Agreement
The NLANR Distributed Applications Support Team: Enabling Distributed Research in Middleware-Based Grid Environments
NLANR 分布式应用程序支持团队:在基于中间件的网格环境中实现分布式研究
  • 批准号:
    0129681
  • 财政年份:
    2002
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Cooperative Agreement
National Laboratory for Applied Networking Research (NLANR):Distributed Applications Support Team (DAST)
应用网络研究国家实验室(NLANR):分布式应用支持团队(DAST)
  • 批准号:
    9725292
  • 财政年份:
    1997
  • 资助金额:
    $ 12113.4万
  • 项目类别:
    Cooperative Agreement

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环境科学的结构化极值模型。
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