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

MRI：通过开发集成的实验室 Beowulf 集群处理来实现时间分辨 PIV 的潜力

• 批准号: 0521621
• 负责人: Barton Smith
• 金额: $ 43.9万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0521621&HistoricalAwards=false
• 关键词: MRI; Realizing; Potential; Time; Resolved

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.

CTS-0521621B。史密斯，犹他州州立大学这笔赠款是开发一种仪器，可以获取和快速处理和存储的时间分辨立体粒子图像测速（TRSPIV）产生的非常大的样本。目前，在获取此类数据所需的时间和处理这些数据所需的时间之间存在很大的差距。通过提供数量级的处理能力来缩小这一差距，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5.2 Giga或更大的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，从而消除了对获取大样本的抑制，并允许用户专注于实验。 该系统将用于犹他州州立大学工程学院的几个系和爱达荷州国家工程与环境实验室（INEEL）。 TRSPIV测量将成为流体动力学界的一大部分。 对于成本的适度增加，将有可能处理时间分辨SPIV产生的非常大的样本。 涉及大样本的其他测量，例如周期性流动中的锁相测量（例如流动控制研究）也将受益。 经验表明，PIV是非常容易获得的测量技术，使该系统在犹他州的生产本科研究计划的价值。PI还计划使用该系统与当地高中和代表性不足的团体开展外联活动。