Server-Side Screening and Network Visualization of Huge Simulation Results

Tomonori Yamada; Kaworu Yodo; Yoshitaka Wada; Shinobu Yoshimura

doi:10.4028/www.scientific.net/KEM.713.254

Paper Titles

Properties of Fiber Reinforced High Performance Cement Based Overlays for Orthotropic Bridge Decks
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Effect of Plastic Deformation on Compliance Curve Based Crack Closure Measurement
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Reliability Assessment of SHM Methodologies for Damage Detection
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Model Order Reduction in Computational Multiscale Fracture Mechanics
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Server-Side Screening and Network Visualization of Huge Simulation Results
p.254

A Study on Repair Technique of Vehicle Injector Parts
p.258

Evolution of Crack Density in Cross-Ply Laminates - Application of a Coupled Stress and Energy Criterion
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Residual Lifetime Determination of Low Temperature Co-Fired Ceramics
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Influence of Hybrid Steel Fiber Addition on Direct Tensile Behavior of UHPC
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 713Server-Side Screening and Network Visualization of...

Server-Side Screening and Network Visualization of Huge Simulation Results

Abstract:

With the growth of computing technologies including both hardware and simulation algorithms, simulation models have become extremely large in scale. Nowadays the visualization of the huge result data obtained by the large scale simulation is one of the main bottlenecks through all the simulation procedures because such large scale simulation is generally conducted on computing servers such as supercomputers, while the visualization is done on local client environments. To avoid time consuming transfer of the result data from the computing server to the local client, we propose techniques for the server-side screening and network visualization of them in advance to their transfer. We demonstrate that our approach contributes to find out the region of interests in whole the result data by a numerical example.

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Periodical:

Key Engineering Materials (Volume 713)

Pages:

254-257

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.713.254

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Online since:

September 2016

Authors:

Tomonori Yamada*, Kaworu Yodo, Yoshitaka Wada, Shinobu Yoshimura

Keywords:

Finite Element Method (FEM), Large Scale Analysis, Visualization

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* - Corresponding Author

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