Freeprocessing: Transparent in situ Visualization via Data Interception

Simple item page
dc.contributor.authorFogal, Thomasen_US
dc.contributor.authorProch, Fabianen_US
dc.contributor.authorSchiewe, Alexanderen_US
dc.contributor.authorHasemann, Olafen_US
dc.contributor.authorKempf, Andreasen_US
dc.contributor.authorKrüger, Jensen_US
dc.contributor.editorMargarita Amor and Markus Hadwigeren_US
dc.date.accessioned2014-12-16T07:31:19Z
dc.date.available2014-12-16T07:31:19Z
dc.date.issued2014en_US
dc.description.abstractIn situ visualization has become a popular method for avoiding the slowest component of many visualization pipelines: reading data from disk. Most previous in situ work has focused on achieving visualization scalability on par with simulation codes, or on the data movement concerns that become prevalent at extreme scales. In this work, we consider in situ analysis with respect to ease of use and programmability. We describe an abstraction that opens up new applications for in situ visualization, and demonstrate that this abstraction and an expanded set of use cases can be realized without a performance cost.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-59-0en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/pgv.20141084en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/pgv.20141084.049-056
dc.publisherThe Eurographics Associationen_US
dc.titleFreeprocessing: Transparent in situ Visualization via Data Interceptionen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
049-056.pdf
Size:
1.65 MB
Format:
Adobe Portable Document Format
Download
Collections
EGPGV14: Eurographics Symposium on Parallel Graphics and Visualization