文章基本信息

标题：Dynamic Workflow Engine of Atmospheric Big Remote Sensing Data Processing Powered by Heterogenous Platform for High Performance Computing (Abstract)
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作者：Sheng Zhang ; Yong Xue ; Xiran Zhou 等
期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2021
卷号：9
期号：1
页码：112-119
DOI：10.1553/giscience2021_01_s112
语种：English
出版社：ÖAW Verlag, Wien
摘要：The development of big remote sensing data related technologies and applications poses a big challenge that massive computing capability is needed to support big data processing. In order to solve this challenge, this paper proposes an architecture of heterogeneous platform of high performance computing, which employs the computer hardware resources to improve the efficiency of big remote sensing data processing by optimizing scheduling strategies and designing high-performance algorithms. Furthermore, the proposed platform can dynamically incorporated with a workflow engine regarding big remote sensing data processing. These algorithms are modular to meet the flexible combination of different processes.
关键词：high performance computing (HPC);heterogeneous computing platform;workflow engine;atmospheric big remote sensing data