Grid Based Analysis Toolkit for Partial Wave Analysis

Zhi Yang, Richard T. Jones, Changqing Yin
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Abstract

To get the physics out of the data, GlueX relies entirely on an amplitude-based analysisâ€"PWA(Partial Wave Analysis). We build a grid test platform to verify how computational and data grid can be used to process large scale dataset in PWA, and make PWA toolkit to be grid-enable. The work we did has demonstrated that grid is a promising computing architecture for PWA in GlueX project. We setup grid computational platform, which consists of three clusters. We also setup data grid platform using dCache and evaluate the file access performance of dCache. A new Condor wrapper for Open MPI is presented in this grid platform. Through revising ruby-PWA package, we parallel ruby-PWA in grid environment. We run some scaling test benchmarks, and the results show grid-enabled ruby-PWA gets high performance in multi-node amplitude analysis.
基于网格的部分波分析工具包
为了从数据中获得物理特性,GlueX完全依赖于基于振幅的分析 - PWA(部分波分析)。构建网格测试平台,验证计算网格和数据网格在PWA中处理大规模数据集的能力,实现PWA工具箱的网格化。在GlueX项目中,我们所做的工作证明了网格是一种很有前途的PWA计算架构。我们建立了网格计算平台,该平台由三个集群组成。我们还使用dCache建立了数据网格平台,并评估了dCache的文件访问性能。在此网格平台上,提出了一种新的Open MPI Condor包装器。通过改进ruby-PWA包,实现了网格环境下ruby-PWA的并行化。我们运行了一些缩放测试基准,结果表明网格化的ruby-PWA在多节点振幅分析中获得了良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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