English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Development and integration of an in-situ framework for visualization of large-scale, unsteady phenomena in ICON

MPS-Authors
There are no MPG-Authors available
Locator
There are no locators available
Fulltext (public)

143-945-1-PB.pdf
(Publisher version), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Vetter, M., & Olbrich, S. (2017). Development and integration of an in-situ framework for visualization of large-scale, unsteady phenomena in ICON. Journal of Supercomputing Frontiers and Innovations, 4, 55-67. doi:10.14529/jsfi170303.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-CDDD-6
Abstract
With large-scale simulation models on massively parallel supercomputers generating increasingly large data sets, in-situ visualization is a promising way to avoid bottlenecks. Enabling in-situ visualization in a simulation model asks for special attention to the interface between a parallel simulation model and the data analysis part of the visualization, and to presentation and interaction scenarios. Modifications to scientific workflows would potentially result in a paradigm shift, which affects compute and data intensive applications generally. We present our approach for enabling in-situ visualization within the highly parallelized climate model ICON using the DSVR visualization framework. We focus on the requirements for generalized grid and data structures, and for universal, scalable algorithms for volume and flow visualization of time series. In-situ pathline extraction as a technique for the visualization of unsteady flows has been integrated in the climate simulation model ICON and verified in first studies.