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A Serverless Tool for Platform Agnostic Computational Experiment Management

机译:平台不可知的计算实验管理的无服务器工具

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摘要

Neuroscience has been carried into the domain of big data and high performance computing (HPC) on the backs of initiatives in data collection and an increasingly compute-intensive tools. While managing HPC experiments requires considerable technical acumen, platforms, and standards have been developed to ease this burden on scientists. While web-portals make resources widely accessible, data organizations such as the Brain Imaging Data Structure and tool description languages such as Boutiques provide researchers with a foothold to tackle these problems using their own datasets, pipelines, and environments. While these standards lower the barrier to adoption of HPC and cloud systems for neuroscience applications, they still require the consolidation of disparate domain-specific knowledge. We present Clowdr, a lightweight tool to launch experiments on HPC systems and clouds, record rich execution records, and enable the accessible sharing and re-launch of experimental summaries and results. Clowdr uniquely sits between web platforms and bare-metal applications for experiment management by preserving the flexibility of do-it-yourself solutions while providing a low barrier for developing, deploying and disseminating neuroscientific analysis.
机译:在数据收集计划和越来越多的计算密集型工具的支持下,神经科学已进入大数据和高性能计算(HPC)领域。尽管管理HPC实验需要相当大的技术头脑,但已经开发了平台和标准来减轻科学家的负担。尽管网络门户使资源可广泛访问,但诸如“脑成像数据结构”之类的数据组织和诸如“精品店”之类的工具描述语言为研究人员提供了立足之地,以利用他们自己的数据集,管道和环境来解决这些问题。尽管这些标准降低了将HPC和云系统用于神经科学应用的障碍,但它们仍然需要整合不同的领域特定知识。我们介绍了Clowdr,这是一种轻量级的工具,可以在HPC系统和云上启动实验,记录丰富的执行记录,并实现可访问的共享和重新启动实验摘要和结果。 Clowdr保留了自己动手解决方案的灵活性,同时为开发,部署和传播神经科学分析提供了低障碍,因此它独特地位于Web平台和裸机应用程序之间,用于实验管理。

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