Acquisition of High Performance Computational Infrastructure for Image Analysis, Visualization, and Game Development

收购用于图像分析、可视化和游戏开发的高性能计算基础设施

基本信息

  • 批准号:
    0959583
  • 负责人:
  • 金额:
    $ 15.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-05-01 至 2012-04-30
  • 项目状态:
    已结题

项目摘要

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." Proposal #: 09-59583PI(s): Celebi, M Emre, Cvek, Urska, Trutschl, Marjan, Williams-Hart, Itara T.Institution: Louisiana State University Shreveport, LA 71115-2301Title: MRI-R2/Acq: High Performance Computational Infrastructure for Image Analysis, Visualization, and Game DevelopmentProject Proposed:This project, acquiring high-performance and storage infrastructure, services research projects requiring the use of high performance resources for image analysis, visualization, game development, and other advanced applications. The specific instrumentation is a blade server system with a storage area network (SAN) subsystem for use by faculty and students mainly in Computer Sciences, Biological Sciences, and Physics/Astronomy. Key characteristics follow.- Provides high performance computing and storage infrastructure to support large image databases, visualization research, and access to vast amount of experimental data from outside the institution;- Promotes multidisciplinary use of common equipment and infrastructure;- Enhances current research efforts and creates new synergy among the various groups involved. These key characteristics should lead to scholarly publications and additional research ideas. Hence, new research ideas and initiatives are expected to emerge that will lead to additional high quality interdisciplinary research activities with potential to enhance socioeconomic progress in the state and beyond. Broader Impacts: The instrument greatly enhances this primarily undergraduate, non-doctoral institution that serves under represented students in an EPSCoR state. The institution has a long history of involving undergraduates in research. Thus, the acquisition and utilization of the system supports an improved learning environment that integrates research and education fostering collaborations within the university, and across institutions. It directly benefits approximately 150 undergraduate students, and at least 15 graduate students per year. Moreover, the supported research and education should contribute to the development of a skilled workforce. The acquisition and utilization of the new blade server system expands opportunities for a diverse community of faculty and students in an underserved area of U.S.
“这项奖励是根据2009年美国复苏和再投资法案(公法111-5)资助的。”提案编号:09- 595883 pi (s): Celebi, M Emre, Cvek, Urska, Trutschl, Marjan, Williams-Hart, Itara t .机构:路易斯安那州立大学什里夫波特分校,LA 71115-2301标题:MRI-R2/Acq:用于图像分析、可视化和游戏开发的高性能计算基础设施项目建议:该项目,获取高性能和存储基础设施,服务于需要使用高性能资源进行图像分析、可视化、游戏开发和其他高级应用的研究项目。具体的仪器是一个刀片服务器系统,带有存储区域网络(SAN)子系统,主要供计算机科学、生物科学和物理/天文学的教师和学生使用。关键特征如下。-提供高性能计算和存储基础设施,以支持大型图像数据库,可视化研究,并从机构外部访问大量实验数据;-促进多学科使用共同设备和基础设施;-加强目前的研究工作,并在各有关小组之间建立新的协同作用。这些关键特征应该导致学术出版物和额外的研究思路。因此,新的研究思路和倡议有望出现,这将导致更多高质量的跨学科研究活动,有可能促进该州乃至其他地区的社会经济进步。更广泛的影响:该仪器极大地增强了这个主要是本科生,非博士机构,服务于EPSCoR州代表性不足的学生。该机构在让本科生参与研究方面有着悠久的历史。因此,该系统的获取和使用支持了一个改进的学习环境,将研究和教育结合起来,促进了大学内部和机构之间的合作。每年约有150名本科生和至少15名研究生直接受益。此外,受支持的研究和教育应有助于培养熟练劳动力。新的刀片服务器系统的获得和使用为美国服务不足地区的教师和学生的多样化社区提供了机会

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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M. Emre Celebi其他文献

Dermoscopy image analysis
皮肤镜图像分析
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Emre Celebi;Teresa Mendonca;Jorge S. Marques
  • 通讯作者:
    Jorge S. Marques
Deep learning approaches for real-time image super-resolution
  • DOI:
    10.1007/s00521-020-05176-z
  • 发表时间:
    2020-07-15
  • 期刊:
  • 影响因子:
    4.500
  • 作者:
    Pourya Shamsolmoali;M. Emre Celebi;Ruili Wang
  • 通讯作者:
    Ruili Wang
Advances in deep learning for real-time image and video reconstruction and processing
  • DOI:
    10.1007/s11554-020-01026-2
  • 发表时间:
    2020-09-30
  • 期刊:
  • 影响因子:
    3.000
  • 作者:
    Pourya Shamsolmoali;M. Emre Celebi;Ruili Wang
  • 通讯作者:
    Ruili Wang
Special issue on real-time color image processing
  • DOI:
    10.1007/s11554-015-0506-6
  • 发表时间:
    2015-05-08
  • 期刊:
  • 影响因子:
    3.000
  • 作者:
    M. Emre Celebi;Bogdan Smolka;Gerald Schaefer
  • 通讯作者:
    Gerald Schaefer

M. Emre Celebi的其他文献

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{{ truncateString('M. Emre Celebi', 18)}}的其他基金

MRI: Acquisition of a High-Performance Computing System for University of Central Arkansas
MRI:为中阿肯色大学采购高性能计算系统
  • 批准号:
    1726009
  • 财政年份:
    2017
  • 资助金额:
    $ 15.49万
  • 项目类别:
    Standard Grant
RUI: Novel Enhancements to the K-Means Clustering Algorithm
RUI:K-Means 聚类算法的新颖增强
  • 批准号:
    1117457
  • 财政年份:
    2011
  • 资助金额:
    $ 15.49万
  • 项目类别:
    Standard Grant

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