论文标题
基因座算法III:一个网格计算系统,用于生成针对差分光度法的优化点目录
The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
论文作者
论文摘要
本文讨论了用于实现基因座算法的网格计算系统的硬件和软件组件,以识别61,662,376星和23,799个类星体的差分光度法的最佳点。数据的规模以及初始运营评估要求进行高性能计算(HPC)系统来完成数据分析。将网格计算选为HPC解决方案,作为该项目中可用的最佳选择。国家网格计算基础设施的物理和逻辑结构为所采用的方法提供了信息。这种方法是不同项目组件的分层分离之一,以实现最大的灵活性和可扩展性。
This paper discusses the hardware and software components of the Grid Computing system used to implement the Locus Algorithm to identify optimum pointings for differential photometry of 61,662,376 stars and 23,799 quasars. The scale of the data, together with initial operational assessments demanded a High Performance Computing (HPC) system to complete the data analysis. Grid computing was chosen as the HPC solution as the optimum choice available within this project. The physical and logical structure of the National Grid computing Infrastructure informed the approach that was taken. That approach was one of layered separation of the different project components to enable maximum flexibility and extensibility.