MRI: Acquisition of a High Resolution Visualization System to Enable Large-Scale Data-Intensive Collaborative Research and Cyber-Learning using Grid Computing

MRI:获取高分辨率可视化系统,以利用网格计算实现大规模数据密集型协作研究和网络学习

基本信息

  • 批准号:
    1229306
  • 负责人:
  • 金额:
    $ 20.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-08-15 至 2015-07-31
  • 项目状态:
    已结题

项目摘要

Proposal #: 12-29306PI(s): Mahmood, Akhtar H; Alam, Mohammad S; Severini, Horst; Zain, Samya; Institution: Bellarmine UniversityTitle: MRI/Acq.: High Resolution Visualization System to Enable Large-Scale Data-Intensive Collaborative Research and Cyber-Learning using Grid ComputingProject Proposed:This project from an EPSCoR state and a non-PhD granting institution, acquiring a high resolution visualization instrument, aims to set up an Advanced Visualization and Computational Lab (AVCL) to enable large scale data-intensive collaborative research (data analyses, simulation, and visualization tasks) in high energy physics. In collaboration with University of Oklahoma, State University of New York at Albany, and Susquehanna University, the project spans four geographically dispersed institutions. The acquisition targets a cost-effective high-resolution tiled display system providing a collaborative visualization environment. This visualization system will be constructed as a tiled display wall (16- foot wide by 4.6-foot tall) over an area that fills a user?s field of view to provide a display that looks nearly borderless. It will be connected to several Tier-4 data analyses workstations via a wall processor, so that the scientists can simultaneously display multiple ATLAS data events all at once. 2D and 3D visualization tasks will be carried out using Atlantis, GraXML and VP1 visualization software package. The studies and research projects in high energy physics will be enabled, including, but not limited, to the research for new types of subatomic particles, such as the charged Higgs boson and Supersymmetric (SUSY) particles at the Large Hadron Collider (LHC), and ?Search for Charged Higgs Boson from tt Production?. Broader Impacts: This instrumentation increases institutional capacity to conduct cutting-edge research in cost-effective visualization system. Since the large amount of data cannot be otherwise analyzed and studied, visualization is fundamental for high energy physics. The acquisition of this visualization system should significantly increase the research capability within all the participating institutions. Moreover, the acquisition of this visualization system will serve as a campus-wide resource and provide an exceptional opportunity to engage students in research at the forefront of data-intensive computational science, visualization, and high-energy physics. Through this effort, student training (including underrepresented groups) will be emphasized, as well as the knowledge dissemination. Its impact may be significant.
提案编号:12- 29306 PI:Mahmood、Akhtar H; Alam,Mohammad S; Severini,Horst; Zain,Samya;机构:贝拉明大学 MRI/采集:高分辨率可视化系统,使大规模的数据密集型合作研究和网络学习使用网格计算项目建议:这个项目从EPSCoR国家和非博士授予机构,获得高分辨率可视化仪器,旨在建立一个先进的可视化和计算实验室(AVCL),使大规模的数据密集型合作研究(数据分析,模拟和可视化任务)在高能物理。该项目与俄克拉荷马州大学、奥尔巴尼的纽约州立大学和萨斯奎汉纳大学合作,跨越四个地理上分散的机构。此次收购的目标是一个具有成本效益的高分辨率拼接显示系统,提供协作可视化环境。这个可视化系统将被构建为一个平铺显示墙(16英尺宽,4.6英尺高),覆盖一个用户?的视野,以提供一个显示,看起来几乎无边界。它将通过墙上的处理器连接到几个Tier-4数据分析工作站,以便科学家可以同时显示多个ATLAS数据事件。将使用Atlantis、GraXML和VP 1可视化软件包执行2D和3D可视化任务。高能物理的研究和研究项目将得以实现,包括但不限于新型亚原子粒子的研究,如大型强子对撞机(LHC)上的带电希格斯玻色子和超对称(SUSY)粒子,以及?从TT生产中寻找带电的希格斯玻色子?更广泛的影响:该仪器提高了机构在具有成本效益的可视化系统中进行尖端研究的能力。由于大量的数据无法以其他方式分析和研究,可视化是高能物理的基础。获得这一可视化系统将大大提高所有参与机构的研究能力。此外,这个可视化系统的收购将作为一个校园范围内的资源,并提供了一个特殊的机会,让学生在数据密集型计算科学,可视化和高能物理的前沿研究。通过这一努力,将强调学生培训(包括代表性不足的群体)以及知识传播。其影响可能是重大的。

项目成果

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Akhtar Mahmood其他文献

Snowmass2021: Vera C. Rubin Observatory as a Flagship Dark Matter Experiment
Snowmass2021:Vera C. Rubin 天文台作为旗舰暗物质实验
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yao;Annika H. G. Peter;S. Adhikari;K. Bechtol;Simeon Bird;S. Birrer;J. Blazek;J. Carlin;N. Chamba;J. Cohen;F. Cyr;T. Daylan;Birendra Dhanasingham;A. Drlica;C. Dvorkin;C. Fassnacht;E. Gawiser;Maurizio Giannotti;V. Gluscevic;A. González;R. Hložek;M. J. Jee;Stacy Kim;Akhtar Mahmood;Rachel Mandelbaum;S. Mishra;M. Moniez;E. Nadler;C. Prescod;J. A. Tyson;Risa Wechsler;Hai;G. Zaharijas
  • 通讯作者:
    G. Zaharijas
The Globalisation of Poverty: Impacts of IMF and World Bank Reforms
  • DOI:
    10.1108/jes.2000.27.3.222.1
  • 发表时间:
    2000-06
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Akhtar Mahmood
  • 通讯作者:
    Akhtar Mahmood
Effect of dietary pyridoxine deficiency on intestinal functions in rats
  • DOI:
    10.1016/s0271-5317(85)80007-5
  • 发表时间:
    1985-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Safrun Mahmood;Harinder M. Dani;Akhtar Mahmood
  • 通讯作者:
    Akhtar Mahmood
<em>Giardia lamblia</em>: Expression of alkaline phosphatase activity in infected rat intestine
  • DOI:
    10.1016/j.exppara.2005.03.017
  • 发表时间:
    2005-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Safrun Mahmood;Kamaljit Kaur;Nidhi Mittal;Akhtar Mahmood
  • 通讯作者:
    Akhtar Mahmood
744 SIALYLATION AND FUCOSYLATION OF LECTIN BINDING SITES IN RAT INTESTINAL MICROVILLUS MEMBRANES (MVM)
大鼠肠微绒毛膜(MVM)中凝集素结合位点的唾液酸化和岩藻糖化
  • DOI:
    10.1203/00006450-198504000-00774
  • 发表时间:
    1985-04-01
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Ramon Torres-Pinedo;Akhtar Mahmood
  • 通讯作者:
    Akhtar Mahmood

Akhtar Mahmood的其他文献

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{{ truncateString('Akhtar Mahmood', 18)}}的其他基金

Recruiting, Preparing, and Supporting Highly Qualified Kentucky Science and Mathematics Teachers
招聘、培养和支持高素质的肯塔基州科学和数学教师
  • 批准号:
    2149370
  • 财政年份:
    2022
  • 资助金额:
    $ 20.93万
  • 项目类别:
    Continuing Grant
Strengthening STEM Teacher Education Pathways in Kentucky with Collaborative Partnerships
通过合作伙伴关系加强肯塔基州的 STEM 教师教育途径
  • 批准号:
    1852898
  • 财政年份:
    2019
  • 资助金额:
    $ 20.93万
  • 项目类别:
    Standard Grant
Bellarmine S-STEM Scholars Program
贝拉明 S-STEM 学者计划
  • 批准号:
    1154454
  • 财政年份:
    2012
  • 资助金额:
    $ 20.93万
  • 项目类别:
    Continuing Grant
MRI: Acquisition of a Supercomputing Cluster for Data-Intensive Computational Research using the Open Science Grid (OSG) Cyberinfrastructure
MRI:使用开放科学网格 (OSG) 网络基础设施获取用于数据密集型计算研究的超级计算集群
  • 批准号:
    0922923
  • 财政年份:
    2010
  • 资助金额:
    $ 20.93万
  • 项目类别:
    Standard Grant

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