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

这项工作为Prairie View a&m大学提供了一个高性能计算（HPC）集群，以支持广泛的多学科计算密集型研究和研究培训。该集群的特点是节点之间通过以太网端口连接、共享网络存储以及在图形处理器核心上进行大规模并行计算。此外，板载千兆以太网端口与交换机连接，可以支持大数据集传输，使实时多媒体网络仿真研究成为可能。在实时多视图视频应用中演示压缩感知（CS）需要相当大的计算能力，但对于监控摄像机和传感器网络至关重要。这种影响在国土安全应用中是不可忽视的，尤其是在战场上，传感器和手持无线电是移动的。视频传感器检测物理特性并迅速将数据传输到远程可执行操作的命令控制中心。高性能计算集群使探索CS采样和渲染的并行处理成为可能，而Prairie View集群非常适合研究这些应用中的高速并行视频处理。该集群为更复杂情况下的认知无线电网络模拟提供了新的研究方向，实时模拟不仅有助于理解实时处理对认知无线电应用的影响，而且有助于设计在现实环境中应用的算法。本研究包括科研与教学的结合。最直接和最直接的影响是，从HPC集群支持的研究项目中获得的研究数据、源代码和课程材料可以在整个研究社区中免费访问。加强对影响国土安全需求和网络资源高效利用的实时多媒体信号的重构、分析和建模研究。此外，开发新课程，扩大研究生和本科生的研究经验，以及向高中生和中学生推广是Prairie View HPC集群计划使用的一个组成部分。

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.