A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction

dc.contributor.authorBiswas, Ayanen_US
dc.contributor.authorStrelitz, Richarden_US
dc.contributor.authorWoodring, Jonathanen_US
dc.contributor.authorChen, Chun-Mingen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.editorEnrico Gobbetti and Wes Bethelen_US
dc.date.accessioned2016-06-09T09:43:12Z
dc.date.available2016-06-09T09:43:12Z
dc.date.issued2016en_US
dc.description.abstractStreamlines are commonly used for visualizing flow fields, but particle-tracing based streamline computation usually does not scale well as the data size and complexity increase. Large flow simulations like global ocean or climate models can obtain near perfect load balancing and the resulting data sets are generally analyzed in two dimensional slices. To match the computational properties of these simulations, we propose the use of flux- based stream functions for generating streamlines in parallel. In our method, local stream functions are efficiently generated per block based on flux conservation property, followed by low-cost communication of flux offsets among neighboring blocks. A scalar field is thus generated where streamlines can be extracted through parallel iso- contouring. Experimental results show that our system offers higher streamline computation performance with higher scalability than traditional particle-tracing based method.en_US
dc.description.sectionheadersEfficient Work-flowsen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.doi10.2312/pgv.20161183en_US
dc.identifier.isbn978-3-03868-006-2en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.pages69-78en_US
dc.identifier.urihttps://doi.org/10.2312/pgv.20161183en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Associationen_US
dc.titleA Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extractionen_US
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