Approaches for In Situ Computation of Moments in a Data-Parallel Environment

Simple item page
dc.contributor.authorTsai, Karen C.en_US
dc.contributor.authorBujack, Roxanaen_US
dc.contributor.authorGeveci, Berken_US
dc.contributor.authorAyachit, Utkarshen_US
dc.contributor.authorAhrens, Jamesen_US
dc.contributor.editorFrey, Steffen and Huang, Jian and Sadlo, Filipen_US
dc.date.accessioned2020-05-24T13:24:39Z
dc.date.available2020-05-24T13:24:39Z
dc.date.issued2020
dc.description.abstractFeature-driven in situ data reduction can overcome the I/O bottleneck that large simulations face in modern supercomputer architectures in a semantically meaningful way. In this work, we make use of pattern detection as a black box detector of arbitrary feature templates of interest. In particular, we use moment invariants because they allow pattern detection independent of the specific orientation of a feature. We provide two open source implementations of a rotation invariant pattern detection algorithm for high performance computing (HPC) clusters with a distributed memory environment. The first one is a straightforward integration approach. The second one makes use of the Fourier transform and the Cross-Correlation Theorem. In this paper, we will compare the two approaches with respect to performance and flexibility and showcase results of the in situ integration with real world simulation code.en_US
dc.description.sectionheadersVisualization
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.identifier.doi10.2312/pgv.20201075
dc.identifier.isbn978-3-03868-107-6
dc.identifier.issn1727-348X
dc.identifier.pages57-68
dc.identifier.urihttps://doi.org/10.2312/pgv.20201075
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pgv20201075
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisualization
dc.subjectTheory of computation
dc.subjectParallel algorithms
dc.subjectPattern matching
dc.titleApproaches for In Situ Computation of Moments in a Data-Parallel Environmenten_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
057-068.pdf
Size:
17.85 MB
Format:
Adobe Portable Document Format
Download
Collections
EGPGV20: Eurographics Symposium on Parallel Graphics and Visualization