Identifying software usage at HPC centers with the automatic library tracking database
Identifying software usage at HPC centers with the automatic library tracking database
复制标题
通过自动库跟踪数据库识别 HPC 中心的软件使用情况
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
N. Jones
中科院分区：
文献类型：
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作者：
B. Hadri;M. Fahey;N. Jones
开发了图书馆跟踪数据库，以监测软件/图书馆的使用情况。这个自动库跟踪数据库（ALTD）自动透明地将编译时链接到应用程序的库的信息以及批处理作业中启动的可执行文件的信息存储到数据库中。然后可以挖掘收集到数据库中的信息以提供报告。分析收集到的数据的结果将有助于识别，例如，最常用和最少使用的库和代码，以及那些正在使用弃用的库或应用程序的用户。我们将说明库和可执行文件在Cray XT平台上的使用，Cray XT平台托管在国家计算科学研究所和橡树岭领导计算设施（两者都位于橡树岭国家实验室）。
A library tracking database has been developed to monitor software/library usage. This Automatic Library Tracking Database (ALTD) automatically and transparently stores, into a database, information about the libraries linked into an application at compilation time and also the executables launched in a batch job. Information gathered into the database can then be mined to provide reports. Analyzing the results from the data collected will help to identify, for example, the most frequently used and the least used libraries and codes, and those users that are using deprecated libraries or applications. We will illustrate the usage of libraries and executables on the Cray XT platforms hosted at the National Institute for Computational Sciences and the Oak Ridge Leadership Computing Facility (both located at Oak Ridge National Laboratory).