DocumentCode
2487372
Title
In situ fragment detection at scale
Author
Fabian, Nathan
Author_Institution
Sandia National Laboratories
fYear
2012
fDate
14-15 Oct. 2012
Firstpage
105
Lastpage
108
Abstract
We explore the problem of characterizing fragments using Par-aView in situ with an explosion simulation. By running in situ we can see a much higher temporal view of the data as well as potentially compress the output to only those statistics about fragments we care about. However, the fragment finding must be able to scale as well as the simulation. In order to achieve the necessary scales, we borrow operations the simulation is already doing and take advantage of them within Para View, demonstrating the resulting improvement in scaling performance.
Keywords
data analysis; data visualisation; digital simulation; Par-aView; data temporal view; explosion simulation; fragment characterization; in situ fragment detection; scaling performance; Adaptation models; Algorithm design and analysis; Analytical models; Data models; Materials; Shape; Surface reconstruction; coprocessing; in situ; scaling; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4673-4732-7
Type
conf
DOI
10.1109/LDAV.2012.6378983
Filename
6378983
Link To Document