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dc.contributor.authorHauenstein, Jacob D.en_US
dc.contributor.authorNewman, Timothy S.en_US
dc.contributor.editorVangorp, Peteren_US
dc.contributor.editorHunter, Daviden_US
dc.date.accessioned2023-09-12T05:44:45Z
dc.date.available2023-09-12T05:44:45Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-231-8
dc.identifier.urihttps://doi.org/10.2312/cgvc.20231185
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20231185
dc.description.abstractA study of energy use (in an x86-class environment) for computation of descriptors used in analysis and in one common scientific visualisation strategy, direct volume rendering (DVR), of volumetric data is presented. Focus is on descriptors used by classic ray-casting-based DVR, including gradients and curvature. Modified computational strategies are considered versus standard approaches on x86. The modified strategies explored include two memory-based ones and four computation-based ones. Use of energy-optimal strategies was able to achieve close to 20% energy savings for gradient descriptor determination. Factor-of-two improvement in energy efficiency for curvature descriptor determination was achieved through these strategies.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Scientific visualization; General and reference -> Performance; Hardware -> Power estimation and optimization; Software and its engineering -> Software performance
dc.subjectHuman centered computing
dc.subjectScientific visualization
dc.subjectGeneral and reference
dc.subjectPerformance
dc.subjectHardware
dc.subjectPower estimation and optimization
dc.subjectSoftware and its engineering
dc.subjectSoftware performance
dc.titleStrategies for More Energy Efficient Volume Analysis and Direct Volume Rendering Descriptor Computationen_US
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.description.sectionheadersShape Representation and Analysis
dc.identifier.doi10.2312/cgvc.20231185
dc.identifier.pages1-7
dc.identifier.pages7 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License