A computational prototyping environment interface for DoD CREATE™-AV Helios simulations

Haehnel, Robert B.; Christensen, Scott; Whitlow, J. L.; Bauer, Andrew; Meyer, Ari; Rangarajan, Gautham; Wenren, Yonghu; Hardin, Deanna L.; Hoch, Brendon; Clark, Shyla; Eiseman, Alex

doi:10.21079/11681/40582

Cited by 2 publications

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“…The Computational Prototyping Environment [15], or CPE for short, is a web-based workflow platform. It is designed to work with Helios to assist with managing and monitoring jobs on HPC machines.…”

Section: A Computational Prototyping Environmentmentioning

confidence: 99%

In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios

Bauer¹,

Forsythe²,

Sitaraman³

et al. 2021

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The CREATE-AV™ Helios CFD simulation code has been used to accurately predict rotorcraft performance under a variety of flight conditions. The Helios package contains a suite of tools that contain almost the entire set of functionality needed for a variety of workflows. These workflows include tools customized to properly specify many in situ analysis and visualization capabilities appropriate for rotorcraft analysis. In situ is the process of computing analysis and visualization information during a simulation run before data is saved to disk. In situ has been referred to with a variety of terms including co-processing, covisualization, coviz, etc. In this paper we describe the customization of the pre-processing GUI and corresponding development of the Helios solver code-base to effectively implement in situ analysis and visualization to reduce file IO and speed up workflows for CFD analysts. We showcase how the workflow enables the wide variety of Helios users to effectively work in post-processing tools they are already familiar with as opposed to forcing them to learn new tools in order post-process in situ data extracts being produced by Helios. These data extracts include various sources of information customized to Helios, such as knowledge about the near- and off-body grids, internal surface extracts with patch information, and volumetric extracts meant for fast post-processing of data. Additionally, we demonstrate how in situ can be used by workflow automation tools to help convey information to the user that would be much more difficult when using full data dumps.

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Section: A Computational Prototyping Environmentmentioning

confidence: 99%