Buelow, Max von ; Stensbeck, Tobias ; Knauthe, Volker ; Guthe, Stefan ; Fellner, Dieter W. (2022)
Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers.
Pacific Conference on Computer Graphics and Applications 2022. Kyoto, Japan (05.10.2022-08.10.2022)
doi: 10.2312/pg.20221243
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
The ongoing race to improve computer graphics leads to more complex GPU hardware and ray tracing techniques whose internal functionality is sometimes hidden to the user. Bounding volume hierarchies and their construction are an important performance aspect of such ray tracing implementations. We propose a novel approach that utilizes binary instrumentation to collect memory traces and then uses them to extract the bounding volume hierarchy (BVH) by analyzing access patters. Our reconstruction allows combining memory traces captured from multiple ray tracing views independently, increasing the reconstruction result. It reaches accuracies of 30% to 45% when comparing against the ground-truth BVH used for ray tracing a single view on a simple scene with one object. With multiple views it is even possible to reconstruct the whole BVH, while we already achieve 98% with just seven views. Because our approach is largely independent of the data structures used internally, these accurate reconstructions serve as a first step into estimation of unknown construction techniques of ray tracing implementations.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2022 |
Autor(en): | Buelow, Max von ; Stensbeck, Tobias ; Knauthe, Volker ; Guthe, Stefan ; Fellner, Dieter W. |
Art des Eintrags: | Bibliographie |
Titel: | Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers |
Sprache: | Englisch |
Publikationsjahr: | 9 Oktober 2022 |
Verlag: | Eurographics Association |
Buchtitel: | PG2022 Short Papers, Posters, and Work-in-Progress Papers |
Veranstaltungstitel: | Pacific Conference on Computer Graphics and Applications 2022 |
Veranstaltungsort: | Kyoto, Japan |
Veranstaltungsdatum: | 05.10.2022-08.10.2022 |
DOI: | 10.2312/pg.20221243 |
URL / URN: | https://diglib.eg.org:443/handle/10.2312/pg20221243 |
Zugehörige Links: | |
Kurzbeschreibung (Abstract): | The ongoing race to improve computer graphics leads to more complex GPU hardware and ray tracing techniques whose internal functionality is sometimes hidden to the user. Bounding volume hierarchies and their construction are an important performance aspect of such ray tracing implementations. We propose a novel approach that utilizes binary instrumentation to collect memory traces and then uses them to extract the bounding volume hierarchy (BVH) by analyzing access patters. Our reconstruction allows combining memory traces captured from multiple ray tracing views independently, increasing the reconstruction result. It reaches accuracies of 30% to 45% when comparing against the ground-truth BVH used for ray tracing a single view on a simple scene with one object. With multiple views it is even possible to reconstruct the whole BVH, while we already achieve 98% with just seven views. Because our approach is largely independent of the data structures used internally, these accurate reconstructions serve as a first step into estimation of unknown construction techniques of ray tracing implementations. |
Freie Schlagworte: | Computer graphics (CG), Ray tracing |
Zusätzliche Informationen: | Part of the research in this paper was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 407714161. |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
Hinterlegungsdatum: | 03 Jan 2023 09:56 |
Letzte Änderung: | 11 Sep 2024 09:54 |
PPN: | 503556726 |
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Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers. (deposited 10 Sep 2024 08:07)
- Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers. (deposited 03 Jan 2023 09:56) [Gegenwärtig angezeigt]
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