95GHZ SPECTROMETER DATA ANALYSIS CO-COMPUTER

95GHZ光谱仪数据分析协机

• 批准号: 8364115
• 负责人: CURT R DUNNAM
• 金额: $ 0.54万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8364115
• 关键词: Automatic Data Processing; Collection; Computer Systems; Computers; Conflict (Psychology); Custom; Data Analyses; Data Files; Environment; Funding; Grant; National Center for Research Resources; Performance; Principal Investigator; Process; Pythons; Research; Research Infrastructure; Resources; Solutions; Source; System; Technology; Time; United States National Institutes of Health; computer data analysis; cost; operation; research study

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. We have acquired and installed a second, subsidiary data processing computer (Red Barn/dual core custom configuration) as a solution to the bottleneck of otherwise using the system control computer for data analysis and plotting. This computing upgrade path was chosen instead of the significantly costlier alternative of replacing the existing 95GHz spectrometer system control computer, an upgrade that would have required building a custom chassis at relatively much greater expense. More importantly, performance analysis of the single-computer solution indicated that high priority real-time control of the spectrometer operations would often conflict with computationally intensive processing required for post-collection data analysis. Addition of the second computer has eliminated the potential for such conflicts. Additional Python scripting has been incorporated into the spectrometer control computer to automate transfer of data files to the data analysis/plotting system during the course of experiment collections. Subsequent data analysis and plotting is primarily conducted in a MatLab environment and is effectively off-line with respect to system computer control of ongoing experiments.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 我们购买并安装了第二台辅助数据处理计算机（Red Barn/双核定制配置），作为解决使用系统控制计算机进行数据分析和绘图的瓶颈的解决方案。选择这种计算升级路径，而不是更换现有 95GHz 光谱仪系统控制计算机的昂贵替代方案，这种升级需要以相对更高的成本构建定制机箱。更重要的是，单计算机解决方案的性能分析表明，光谱仪操作的高优先级实时控制通常会与采集后数据分析所需的计算密集型处理发生冲突。添加第二台计算机消除了发生此类冲突的可能性。光谱仪控制计算机中已纳入额外的 Python 脚本，以便在实验收集过程中自动将数据文件传输到数据分析/绘图系统。随后的数据分析和绘图主要在 MatLab 环境中进行，并且相对于正在进行的实验的系统计算机控制而言，实际上是离线的。