MRI: Acquisition of a High Performance Computer Cluster for Multidisciplinary Computational Research at Prairie View A&M University

MRI：在 Prairie View A 采购用于多学科计算研究的高性能计算机集群

• 批准号: 1229744
• 负责人: Suxia Cui
• 金额: $ 39.42万
• 依托单位: Prairie View A & M University
• 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: 2012-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1229744&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Computer; Cluster

This work provides a High Performance Computing (HPC) cluster at Prairie View A&M University to support a broad array of multidisciplinary computing-intensive research and research training.The proposed cluster features Ethernet ports connection between nodes, shared network storage and massive parallel computation on graphics processor cores. Moreover, the on board Gigabit Ethernet ports with switch connection can support large data sets transmission to enable the research in real time multimedia network simulation.Demonstrating compressive sensing (CS) on real time multi-view video application requires considerable computational capability but is critical for surveillance camera and sensor networks. The impacts are nontrivial in homeland security applications especially on the battlefield where sensors and hand-held radios are mobile. Video sensors detect physical properties and rapidly transmit the data to a command control center for remote executable actions. A High Performance Computing cluster makes it possible to explore parallel processing of CS sampling and rendering and the Prairie View cluster is ideally suited for high-speed, parallel video processing in the research of these applications. This cluster enables new research in simulating cognitive radio networks with more complicated situations The real time simulation will help not only understanding how real time processing affects the cognitive radio applications, but also designing algorithms for applications in real world environment. This research includes the integration of research and education. The most direct and immediate impact is that research data, source code, and curriculum materials obtained from the research projects supported by this HPC cluster are freely accessible across the research communities. Strengthening the real time multimedia signal reconstruction, analysis and modeling research impacts homeland security needs and efficient usage of network resources. Additionally, the development of new courses, expanded research experiences for Graduate and undergraduate students, and outreach to high school and middle school students are an integral part of planned use of the Prairie View HPC Cluster.

这项工作在Prairie View A＆M大学提供了高性能计算（HPC）群集，以支持一系列多学科计算密集型研究和研究培训。拟议的集群具有以太网端口的连接，共享网络存储，共享网络存储和图形处理器核心上的大量并行计算。此外，具有开关连接的板上千兆以太网端口可以支持大型数据集传输，以实时多媒体网络模拟进行研究。示出实时多视频视频应用程序的压缩传感（CS）需要相当多的计算能力，但对监视摄像机和传感器网络至关重要。 在国土安全申请中，尤其是在传感器和手持收音机移动的战场上，这些影响是无关紧要的。视频传感器检测物理属性并将数据迅速传输到命令控制中心，以进行远程可执行操作。高性能计算集群可以探索CS采样和渲染的并行处理，而Prairie View群集非常适合在这些应用程序的研究中进行高速，并行视频处理。该集群在模拟具有更复杂情况的认知无线网络方面可以实时模拟不仅有助于了解实时处理如何影响认知无线电应用程序，还可以为现实世界环境中的应用设计算法。这项研究包括研究和教育的整合。最直接，最直接的影响是，从该HPC群集支持的研究项目中获得的研究数据，源代码和课程材料在整个研究社区都可以自由访问。加强实时多媒体信号重建，分析和建模研究会影响国土安全需求并有效地使用网络资源。 此外，开发新课程，扩大研究生和本科生的研究经验以及向高中和中学生推广是计划使用Prairie View HPC集群不可或缺的一部分。