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EPIC - An Extract Plug-In Components Toolkit for In situ Data Extracts Architecture

机译:EPIC-用于原位数据提取架构的数据提取插件组件工具包

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A new data extract toolkit known as EPIC- Extract Plug-In Components Toolkit has been designed and implemented to create data surface extracts in situ via the TURBO CFD code. New FieldView extracts (eXDB) with a Proper Orthogonal Decomposition (POD) reduced order model were implemented, visualized and analyzed using a new prototype version of the CFD post-processor FieldView. Benchmarks show that the EPIC with POD surface extracts have some memory and computational cost overhead that may be mitigated by the reduced overall user workflow and the overall reduction in data files saved to disk. In addition, the resulting extracts provide new visualization and feature detection capabilities that may be obtained through analysis of the POD modes. This paper presents benchmarks at scale for unsteady Gas Turbine simulations (S-37 and BRI) and explores the feature detection capabilities of POD.
机译:已经设计并实现了一个称为EPIC-Extract Plug-In Components Toolkit的新数据提取工具包,以通过TURBO CFD代码就地创建数据表面提取。使用CFD后处理器FieldView的新原型版本,实现了具有适当正交分解(POD)降序模型的新FieldView提取物(eXDB)。基准测试表明,具有POD表面提取的EPIC具有一些内存和计算成本开销,可以通过减少总体用户工作流程和总体上减少保存到磁盘的数据文件来减轻这些开销。此外,所得提取物还提供了新的可视化和特征检测功能,可以通过对POD模式进行分析来获得这些功能。本文针对非稳态燃气轮机仿真(S-37和BRI)提供了大规模的基准测试,并探讨了POD的特征检测功能。

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