MRI: Acquisition of a High-Performance Computing System for University of Central Arkansas
MRI: Acquisition of a High-Performance Computing System for University of Central Arkansas
批准号:
1726009
负责人:
M. Emre Celebi
金额:
$10.51万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-10-01 至 2020-09-30
中文摘要
该项目获得了高性能的计算和存储基础设施,旨在加速教师的研究,并为前沿领域的学生提供更多的研究参与机会和学习经验。具体的仪器,一个刀片服务器系统,包含一个存储区域网络子系统,供计算机科学系的教师和学生,以及其他教师和他们的学生在生物、数学和地理方面的研究助理使用。他们在图像分析、虚拟现实和数据挖掘等领域的研究项目需要使用高性能资源和其他先进的应用程序。该项目对这所以本科生为主的服务机构构成了重大的仪器增强。-高性能计算和存储基础设施,支持大型图像数据库、虚拟现实和数据挖掘研究;-从校外获取大量实验数据;-多学科使用共同设备和基础设施;-加强目前的研究工作;在不同的研究小组之间创造新的协同作用,可能导致学术出版物和额外的研究想法。新的研究思路和倡议有望出现,导致额外的高质量跨学科研究活动,可能会促进国家和其他地区的社会经济进步。更广泛的影响:仪器支持改善学习环境,这将有助于整合研究和教育,促进大学内部的合作,并进一步作为与其他机构的桥梁。该项目每年直接惠及约150名本科生和至少25名研究生。刀片服务器系统支持的研究、培训和教育应有助于培养熟练劳动力。这种新仪器的获取和使用为该国服务不足地区的多元化社区提供了机会。
英文摘要
This project, acquiring a high performance computing and storage infrastructure, aims to accelerate faculty research and enable enhanced research participation opportunities and learning experiences for students in cutting-edge areas. The specific instrument, a blade server system, contains a storage area network subsystem for use by faculty and students in the Department of Computer Science, and by other faculty members and their students' research assistants in Biology, Mathematics, and Geography. Their research projects, in areas that include image analysis, virtual reality, and data mining, require the use of high performance resources and other advanced applications. The project constitutes a major instrumentation enhancement to this mainly undergraduate serving institution. The instrumentation provides or promotes:-High performance computing and storage infrastructure to support large image databases, virtual reality, and data mining research;-Access to vast amount of experimental data from outside the campus;-Multidisciplinary use of common equipment and infrastructure; -Enhancement of current research efforts; and-Creation of new synergy among various research groups that may lead to scholarly publications and additional research ideas.New research ideas and initiatives are expected to emerge leading to additional high quality interdisciplinary research activities that may enhance socioeconomic progress for the state and beyond.Broader Impacts:The instrumentation supports an improved learning environment that will contribute to integrate research and education and foster collaborations within the university, and further serve as a bridge to other institutions. The project directly benefits approximately 150 undergraduate students and at least 25 graduate students per year. The research training and education supported by the Blade Server System should contribute to the development of a skilled workforce. Acquisition and utilization of this new instrumentation expands opportunities for a diverse community in an underserved area of the country.
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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:
Acquisition of High Performance Computational Infrastructure for Image Analysis, Visualization, and Game Development
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批准号:0959583
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项目类别:Standard Grant
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资助金额:$15.49万
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财政年份:2010
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负责人:M. Emre Celebi
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依托单位:
海外基金