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英特尔软件开发工具介绍--Intel~ VTune可视化性能分析器
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作者 高奕 毕鹏 《程序员》 2004年第10期117-117,共1页
在上期文章中,我们介绍了如何运用Intel编译器通过提高程序编译后执行效率来提升程序性能。然而,提高软件性能不仅可以从提高编译执行代码入手,更多时候需要分析程序性能,找出性能瓶颈着重进行优化。Intel VTune可视化性能分析器便... 在上期文章中,我们介绍了如何运用Intel编译器通过提高程序编译后执行效率来提升程序性能。然而,提高软件性能不仅可以从提高编译执行代码入手,更多时候需要分析程序性能,找出性能瓶颈着重进行优化。Intel VTune可视化性能分析器便是Intel为众多开发者们提供的专门针对寻找软硬件性能瓶颈的一款分析工具。 展开更多
关键词 英特尔公司 软件开发工具 VTune可视化性能分析 调用图 采样 计数器监视器
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嵌入式Linux内核运行态性能可视化分析方法的设计与实现 被引量:1
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作者 崔娟 《测控技术》 CSCD 2016年第1期98-101,105,共5页
介绍了嵌入式Linux操作系统下的一种内核运行态可视化性能分析方法。它采用Linux的字符设备驱动技术,Linux内核源代码内的探针嵌入以及内核补丁技术,基于Socket的Linux端与Windows端的TCP通信技术和Windows端的图形化显示技术,以模块化... 介绍了嵌入式Linux操作系统下的一种内核运行态可视化性能分析方法。它采用Linux的字符设备驱动技术,Linux内核源代码内的探针嵌入以及内核补丁技术,基于Socket的Linux端与Windows端的TCP通信技术和Windows端的图形化显示技术,以模块化方式实现了在Windows宿主操作系统下对Linux操作系统运行时系统事件状态变化的图形化地观察手段,从而辅助软件开发人员方便地去诊断和解决嵌入式Linux系统中存在的调度问题、性能问题以及定时问题等。 展开更多
关键词 嵌入式LINUX操作系统 系统事件 探针插装 可视化性能分析
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Total plant performance evaluation based on big data: Visualization analysis of TE process 被引量:4
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作者 Mengyao Li Wenli Du +1 位作者 Feng Qian Weiming Zhong 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2018年第8期1736-1749,共14页
The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions t... The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions to improve the process benefits and efficiency. Nevertheless, the performance assessment principally concentrates upon some parts of the entire system at present, for example the controller assessment. Although some researches focus on the whole process, they aim at discovering the relationships between profit, society, policies and so forth, instead of relations between overall performance and some manipulated variables, that is, the total plant performance. According to the big data of different performance statuses, this paper proposes a hierarchical framework to select some structured logic rules from monitored variables to estimate the current state of the process. The variables related to safety and profits are regarded as key factors to performance evaluation. To better monitor the process state and observe the performance variation trend of the process, a classificationvisualization method based on kernel principal component analysis(KPCA) and self-organizing map(SOM) is established. The dimensions of big data produced by the process are first reduced by KPCA and then the processed data will be mapped into a two-dimensional grid chart by SOM to evaluate the performance status. The monitoring method is applied to the Tennessee Eastman process. Monitoring results indicate that off-line and on-line performance status can be well detected in a two-dimensional diagram. 展开更多
关键词 Performance evaluation Structured logic rules Hierarchical framework Multidimensional visualization KPCA–SOM
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