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DC poleHodnotaJazyk
dc.contributor.advisor
dc.contributor.authorHauenstein, Jacob D.
dc.contributor.authorNewman, Timothy S.
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T15:18:23Z
dc.date.available2023-10-17T15:18:23Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 186-193.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54424
dc.description.sponsorshipThe research reported here was conducted independently; it was not sponsored by any sort of energy related organizatioen
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectenergetická účinnostcs
dc.subjectzelená technologiecs
dc.subjectzakřivenícs
dc.subjectobjemová datacs
dc.subjecthyperpovrchcs
dc.titleFirst Considerations in Computing and Using Hypersurface Curvature for Energy Efficiencyen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedEnergy consumption for computing and using hypersurface curvature in volume dataset analysis and visualization is studied here. Usage in both the base case and when more energy-optimal strategies, particularly computational (especially for linear algebraic steps) strategies, are the primary foci here and are considered for analysis tasks that are precursors to visualization. Compilation-based effects on energy usage are a secondary focus. Efforts here are on Intel x86, which is popular and has power measurement capabilities. Additionally, a first-time visualization of hypersurface curvature distributions in a brain imaging scenario is exhibited. The work aims to advance under standing of computing’s energy footprint and to provide guidance for energy-responsible volume data analysisen
dc.subject.translatedpower efficiencyen
dc.subject.translatedgreen computingen
dc.subject.translatedcurvatureen
dc.subject.translatedvolumetric dataen
dc.subject.translatedhypersurfaceen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.22
dc.type.statusPeer-revieweden
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