模块化自适应处理基础设施 (MAPI):用于将通用工作流与现代接口相连接的蓝图.
Aljoša Hafner1, George Kourousias1, Marco De Simone1
1Elettra Sincrotrone Trieste, SS 14 km 163,5 in Area Science Park, 34149 Basovizza, Trieste, Italy.
Journal of synchrotron radiation
|November 13, 2025
概括
本文介绍了模块化自适应处理基础架构 (MAPI),这是一个灵活的软件套件,可以简化科学数据分析. MAPI将各种工具集成到一个网络平台中,支持用于各种研究需求的分布式处理.
科学领域:
- 科学计算是科学计算.
- 数据分析基础设施数据分析基础设施.
背景情况:
- 科学研究实验室在简化复杂的数据分析工作流程方面面临着挑战.
- 整合不同的计算框架和工具包是一个重大障碍.
研究的目的:
- 引入模块化自适应处理基础架构 (MAPI),这是一个新的软件套件和方法.
- 为科学数据分析提供一个模块化,可适应和基于Web的平台.
主要方法:
- MAPI将多个软件框架和工具包集成到一个统一的平台中.
- 它支持跨异质后端的分布式处理,包括边缘,本地,HPC和云.
- 该基础设施被设计成一种灵活的"配方",可以适应特定的实验需求.
主要成果:
- 在X射线计算机断层扫描 (CT) 束线上成功实现了MAPI,创建了断层扫描处理系统 (STP3).
- 该案例研究证明了MAPI在处理复杂的计算需求方面的有效性.
- 使用GPU服务器在Elettra的SYRMEP光束线上部署生产产生了积极的结果,其他光束线上正在进行部署.
结论:
- MAPI提供了一种强大而可适应的解决方案,用于增强科学数据分析工作流程.
- 它的模块化设计和分布式处理能力使其在研究环境中得到广泛采用.
- 在CT光束线上成功实施验证了其对各种科学应用的潜力.
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