A Resource Allocation Algorithm for a History-Aware Frame Graph

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dc.contributor.authorSandu, Roman
dc.contributor.authorShcherbakov, Alexandr
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-03T15:36:13Z
dc.date.available2023-10-03T15:36:13Z
dc.date.issued2023
dc.description.abstract-translatedWe consider the problem of memory consumption by a real-time GPU-accelerated graphical application. A history of a resource is defined for a particular frame to be the final contents of such a resource at the end of the previ ous frame. When organizing a graphical application using a frame rendering graph approach, it makes sense to implement automatic serving of resource history read requests of nodes. In absence of history resource requests, allocating resources for a fixed frame graph is the classic problem of dynamic storage allocation (DSA). In this paper, we formulate a generalization of DSA that enables memory reuse for resources with history requests and provide a practical approximate algorithm for solving it.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2023, vol. 31, no. 1-2, p. 63-70.en
dc.identifier.doihttps://www.doi.org/10.24132/JWSCG.2023.7
dc.identifier.issn1213 – 6972 (hard copy)
dc.identifier.issn1213 – 6980 (CD-ROM)
dc.identifier.issn1213 – 6964 (on-line)
dc.identifier.urihttp://hdl.handle.net/11025/54285
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.rights.accessopenAccessen
dc.subjectrámový grafcs
dc.subjectdynamické přidělování úložištěcs
dc.subjectaliasing zdrojůcs
dc.subjectopětovné použití paměti gpucs
dc.subjectdx12cs
dc.subjectvulkancs
dc.subject.translatedframe graphen
dc.subject.translateddynamic storage allocationen
dc.subject.translatedresource aliasingen
dc.subject.translatedgpu memory reuseen
dc.subject.translateddx12en
dc.subject.translatedvulkanen
dc.titleA Resource Allocation Algorithm for a History-Aware Frame Graphen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Volume 31, Number 1-2 (2023)