Acquisition of High Performance Computational Infrastructure for Image Analysis, Visualization, and Game Development
Acquisition of High Performance Computational Infrastructure for Image Analysis, Visualization, and Game Development
批准号:
0959583
负责人:
M. Emre Celebi
金额:
$15.49万
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
项目状态:
已结题
起止时间:
2010-05-01 至 2012-04-30
中文摘要
该奖项是根据2009年《美国复苏和再投资法案》(公法111-5)资助的。建议#:09-59583PI(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,洛杉矶71115-2301标题:磁共振成像-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建议:该项目,获取高性能和存储基础设施,服务研究项目,需要使用高性能资源进行图像分析,可视化,游戏开发,和其他高级应用程序。具体仪器是具有存储区域网络(SAN)子系统的刀片服务器系统,主要供计算机科学、生物科学和物理/天文学专业的教职员工和学生使用。主要特点如下。-提供高性能计算和存储基础设施,以支持大型图像数据库、可视化研究和访问来自机构外部的大量实验数据;-促进通用设备和基础设施的多学科使用;-加强当前的研究努力,并在参与的不同群体之间创造新的协同效应。这些关键特征应该会导致学术出版物和更多的研究想法。因此,预计将出现新的研究想法和倡议,这将导致更多高质量的跨学科研究活动,有可能促进该州及其他地区的社会经济进步。更广泛的影响:该工具极大地加强了这个主要是本科生的非博士生机构,在EPSCoR州为有代表性的学生提供服务。该机构让本科生参与研究的历史由来已久。因此,该系统的获取和使用支持改善的学习环境,将研究和教育结合起来,促进大学内部和跨机构的合作。它每年直接惠及约150名本科生和至少15名研究生。此外,得到支持的研究和教育应有助于发展一支熟练的劳动力队伍。新刀片服务器系统的获得和使用为美国服务不足地区的不同教职员工和学生社区扩大了机会。
英文摘要
"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.
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会议论文
MRI: Acquisition of a High-Performance Computing System for University of Central Arkansas
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批准号:1726009
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项目类别:Standard Grant
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资助金额:$10.51万
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财政年份:2017
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负责人:M. Emre Celebi
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依托单位:
RUI: Novel Enhancements to the K-Means Clustering Algorithm
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批准号:1117457
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项目类别:Standard Grant
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资助金额:$15.59万
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财政年份:2011
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负责人:M. Emre Celebi
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依托单位:
海外基金