用于处理和可视化共聚焦光片显微镜获得的神经解剖图像的HPC基础设施

A. Bria, G. Iannello, P. Soda, Hanchuan Peng, G. Erbacci, G. Fiameni, Giacomo Mariani, R. Mucci, M. Rorro, F. Pavone, L. Silvestri, P. Frasconi, Roberto Cortini
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引用次数: 1

摘要

处理大量数据处理的科学问题需要努力集成适当的服务和应用程序,以促进研究活动,并与高性能计算资源进行交互。更容易获得这些资源对神经科学研究产生了深远的影响,导致了神经解剖图像管理和处理的进步。不断收集的数据量不断增加,因此需要一流的计算资源来处理它们。本文提出了一种用于神经解剖图像管理和处理的高性能计算基础设施,介绍了优化和集成特定应用程序的努力,以充分利用可用资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy
Scientific problems dealing with the processing of large amounts of data require efforts in the integration of proper services and applications to facilitate the research activity, interacting with high performance computing resources. Easier access to these resources have a profound impact on research in neuroscience, leading to advances in the management and processing of neuro-anatomical images. An ever increasing amount of data are constantly collected with a consequent demand of top-class computational resources to process them. In this paper, a HPC infrastructure for the management and the processing of neuro-anatomical images is presented, introducing the effort made to optimize and integrate specific applications in order to fully exploit the available resources.
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