| Description |
1 online resource (17 pages) : color illustrations. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
NREL/PR ; 6A20-80539 |
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NREL/PR ; 6A20-80539.
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| Note |
"2021 International System Dynamics Conference 27 July 2021." |
| Bibliography |
Includes bibliographical references (page 17). |
| Funding |
National Renewable Energy Laboratory DE-AC36-08GO28308 |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed Jan. 5, 2022). |
| Summary |
Visual analytics supported by high performance computing (HPC) accelerates and enhances the discovery, exploration, and analysis of causal patterns in complex system dynamics (SD) models. We present a suite of visualization-assisted ensemble-based techniques for hypothesis generation and testing, and for sensitivity analysis. By employing HPC to provide parallel, on-demand simulation of SD models, one can "steer" an ensemble of simulated scenarios in real time as one first formulates and then informally tests those hypotheses: this provides rapid feedback for analysts to refine their understanding of the causal relationships emergent from a model. Such understandings can be followed and augmented by rigorous application of statistical methods, namely global variance-based sensitivity analysis, Monte-Carlo filtering, adaptive regional sensitivity analysis, and self-organized maps: here timely computation relies on HPC, while effective presentation emphasizes high-dimensional multivariate data visualization. Immersive visualization in virtual 3D environments provides an excellent adjunct to the traditional 2D graphics typically used for SD models, as it generates an embodied understanding of model behavior and facilitates an active, collaborative critique of model structure and output. Finally, we summarize prospects for HPC-enabled visual analytics applied to SD modeling. |
| Subject |
High performance computing.
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Dynamics -- Mathematical models.
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Superinformatique.
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Dynamique -- Modèles mathématiques.
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Dynamics -- Mathematical models
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High performance computing
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| Indexed Term |
high performance computing |
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sensitivity analysis |
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system dynamics |
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visualization |
| Genre/Form |
Congress |
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Added Author |
Inman, Danny, author.
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National Renewable Energy Laboratory (U.S.), issuing body.
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| Added Title |
Visual high performance computing workflows for the analysis of system dynamics models |
| Standard No. |
1812323 OSTI ID |
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0000-0003-2864-7028 |
| Gpo Item No. |
0430-P-09 (online) |
| Sudoc No. |
E 9.22:NREL/PR-6 A 20-80539 |
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