NSF Workshop High Performance Computing Center Sustainability

NSF 高性能计算中心可持续发展研讨会

基本信息

项目摘要

High Performance Computing Center Sustainability The vast majority of researchers in Science, Technology, Engineering, and Mathematics (STEM) disciplines continue to rely on departmental, campus, or regional/state research computing resources. Researchers use "local" computing resources (1) to fulfill their science and engineering computational requirements, and/or (2) to prepare their codes for eventual migration to national facilities, and/or (3) to educate critically needed students that are required by the knowledge economy. Some universities consider research computing a strategic investment and attempt to provide sustained support for significant research computing resources, including sizeable parallel clusters. These are typically housed in formally recognized centers. More commonly universities view research computing as a tactical need, and only provide intermittent funding for research computing. All of these research computing centers are challenged to understand how best to organize, manage, fund, and utilize their hardware and staff. The objective of this workshop is to provide a forum for an open discussion among center directors, campus Chief Information Officers and Research Officers on the topic of the sustainability of research computing centers. The discussion will yield a shared understanding of organizational models, funding models, management models and training models that result in sustainable research computing centers. Intellectual Merit: Research computing centers play a critical role in educating the next generation of scientists and engineers ? the very cadre that will need to extensively utilize high performance research computing resources to be globally competitive intellectuals. This workshop will directly impact the intellectual capabilities of our higher education institutions by initiating a sustained dialog into the increasingly critical requirement for sustained investments and pervasive use of advanced research computing training. Broader Impacts: This workshop will prepare higher education institutions located in economically disadvantaged areas of the country with models for successful research computing centers that, if created and sustained, can markedly impact local economies. Additionally, by developing and sharing institutionally-siloed knowledge across diverse centers, this workshop will facilitate the establishment and implementation of similar centers and will strengthen and enrich broader learning communities.
科学、技术、工程和数学(STEM)学科的绝大多数研究人员继续依赖部门、校园或区域/州的研究计算资源。研究人员使用“本地”计算资源(1)来满足他们的科学和工程计算要求,和/或(2)准备他们的代码最终迁移到国家设施,和/或(3)教育知识经济所需的急需学生。 一些大学认为研究计算是一项战略投资,并试图为重要的研究计算资源提供持续支持,包括相当大的并行集群。这些中心通常设在正式认可的中心。更常见的是,大学将研究计算视为一种战术需求,只为研究计算提供间歇性资金。所有这些研究计算中心都面临着如何最好地组织、管理、资助和利用其硬件和人员的挑战。本次研讨会的目的是提供一个论坛,中心主任,校园首席信息官和研究人员就研究计算中心的可持续性问题进行公开讨论。讨论将产生一个共同的理解的组织模式,资金模式,管理模式和培训模式,导致可持续的研究计算中心。智力优势:研究计算中心在教育下一代科学家和工程师方面发挥着关键作用?这支队伍需要广泛利用高性能研究计算资源,成为具有全球竞争力的知识分子。本次研讨会将直接影响我们的高等教育机构的智力能力,通过启动持续的对话,以持续投资和广泛使用先进的研究计算培训的日益关键的要求。更广泛的影响:该研讨会将为位于该国经济落后地区的高等教育机构提供成功的研究计算中心模型,如果创建和维持,可以显着影响当地经济。此外,通过在不同的中心开发和分享机构孤立的知识,本次研讨会将促进类似中心的建立和实施,并将加强和丰富更广泛的学习社区。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Ashok Krishnamurthy其他文献

The spinal stenosis pedometer and nutrition lifestyle intervention (SSPANLI) randomized controlled trial protocol
椎管狭窄计步器和营养生活方式干预(SSPANLI)随机对照试验方案
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    C. Tomkins;L. Lafave;J. Parnell;Ashok Krishnamurthy;Jocelyn Rempel;L. Macedo;Stephanie Moriartey;K. Stuber;P. Wilson;Richard W. Hu;Yvette M Andreas
  • 通讯作者:
    Yvette M Andreas
P015 Nature Teaches Us to Grieve: The Place of Parks and Nature at End of Life
  • DOI:
    10.1016/j.jpainsymman.2016.10.136
  • 发表时间:
    2016-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sonya L. Jakubec;Don Carruthers Den Hoed;Ashok Krishnamurthy;Heather Ray;Michael Quinn
  • 通讯作者:
    Michael Quinn
Correction: FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research
  • DOI:
    10.1186/s12911-025-02940-w
  • 发表时间:
    2025-02-25
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    Karamarie Fecho;Juan J. Garcia;Hong Yi;Griffin Roupe;Ashok Krishnamurthy
  • 通讯作者:
    Ashok Krishnamurthy
A Computational Science IDE for HPC Systems: Design and Applications
  • DOI:
    10.1007/s10766-008-0084-3
  • 发表时间:
    2008-09-24
  • 期刊:
  • 影响因子:
    0.900
  • 作者:
    David E. Hudak;Neil Ludban;Ashok Krishnamurthy;Vijay Gadepally;Siddharth Samsi;John Nehrbass
  • 通讯作者:
    John Nehrbass
Towards a Cybernetic Model of Human Movement
迈向人类运动的控制论模型
  • DOI:
    10.5539/mer.v6n1p29
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    H. Hemami;Eric W. Tarr;Boren Li;Ashok Krishnamurthy;B. Clymer;B. Dariush
  • 通讯作者:
    B. Dariush

Ashok Krishnamurthy的其他文献

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{{ truncateString('Ashok Krishnamurthy', 18)}}的其他基金

BIGDATA: F: Collaborative Research: From Visual Data to Visual Understanding
BIGDATA:F:协作研究:从视觉数据到视觉理解
  • 批准号:
    1633295
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
EAGER: Distilling a Process for a National CI Roadmap from NSF Collaboratories
EAGER:从 NSF 合作实验室提炼国家 CI 路线图流程
  • 批准号:
    1153775
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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