MRI: Realizing the Potential of Time-Resolved PIV through Development of Integrated In-Lab Beowulf Cluster Processing

cts - 0521621 b。这项拨款用于开发一种仪器，该仪器可以获取并快速处理和存储由时间分辨立体粒子图像测速（TRSPIV）产生的非常大的样品。目前，获取此类数据所需的时间与处理这些数据所需的时间之间存在很大差距。通过在处理能力上提供一个数量级的增长来缩小这一差距将实现这一强大技术的潜力。新系统基于Beowulf集群超级计算机，专门设计用于处理和处理5.2千兆字节或更多的TRSPIV图像数据集。并行处理将对用户完全透明，并且不需要并行处理的知识，消除了对获取大样本的抑制，并允许用户专注于实验。该系统将在犹他州立大学工程学院的几个系和爱达荷国家工程与环境实验室（INEEL）中使用。TRSPIV测量结果将为流体力学界的大部分人所接受。对于成本的适度增加，可以处理时间分辨SPIV生成的非常大的样本。其他涉及大样本的测量，如周期性流动中的锁相测量（如流动控制研究）也将受益。经验表明，PIV是一种非常容易使用的测量技术，使该系统在犹他州立大学的生产性本科生研究项目中具有价值。检察官还计划利用该系统与当地高中和代表性不足的群体开展外展活动。

CTS-0521621B. Smith, Utah State UniversityThis grant is to develop an instrument that can acquire and rapidly process and store the very large samples generated by Time-Resolved Stereo Particle Image Velocimetry (TRSPIV). Currently, there is a large gap between the time required to acquire such data and the time necessary to process it. Closing this gap by providing an order of magnitude increase in processing power will realize the potential of this powerful technique. The new system is based on a Beowulf cluster supercomputer specifically designed to handle and process TRSPIV image data sets of 5.2 Giga Bytes or more. The parallel processing will be completely transparent to the user and will require no knowledge of parallel processing, removing inhibitions about acquiring large samples and allowing the user to concentrate on the experiment. This system will be used in several departments of the College of Engineering at Utah State University and at the Idaho National Engineering and Environmental Laboratory (INEEL). TRSPIV measurements will become accessible to a large segment of the fluid dynamics community. For a modest increase in cost, it will become possible to process the very large samples that time-resolved SPIV generates. Other measurements involving large samples, such as phase-locked measurements in periodic flows (e.g. flow control studies) will also benefit. Experience has shown PIV to be very accessible measurement technique, making this system valuable in the productive undergraduate research program at Utah State. The PIs also plan to use the system for outreach activities with local high schools and under represented groups.