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dc.contributor.authorBeyer, Johanna
dc.contributor.authorHadwiger, Markus
dc.date.accessioned2019-03-10T12:39:38Z
dc.date.available2019-03-10T12:39:38Z
dc.date.issued2018-11-29
dc.identifier.citationBeyer J, Hadwiger M (2018) GPU-based large-scale scientific visualization. SIGGRAPH Asia 2018 Courses on - SA ’18. Available: http://dx.doi.org/10.1145/3277644.3277805.
dc.identifier.doi10.1145/3277644.3277805
dc.identifier.urihttp://hdl.handle.net/10754/631401
dc.description.abstractDisplay-aware processing with flexible new image pyramid (spdf map). Consistent, sparse representation of pixel footprint pdfs Unified evaluation of many important non-linear image operations. Local Laplacian filtering for gigapixel images Efficient CUDA implementation Pre-computation costly, but only performed once Run time storage and computation similar to standard pyramids.
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttps://dl.acm.org/citation.cfm?doid=3277644.3277805
dc.rightsArchived with thanks to SIGGRAPH Asia 2018 Courses on - SA '18
dc.titleGPU-based large-scale scientific visualization
dc.typePresentation
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalSIGGRAPH Asia 2018 Courses on - SA '18
dc.conference.date2018-12-04 to 2018-12-07
dc.conference.nameSIGGRAPH Asia 2018 Courses - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH Asia 2018
dc.conference.locationTokyo, JPN
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionHarvard University
kaust.personHadwiger, Markus
dc.date.published-online2018-11-29
dc.date.published-print2018


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