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A Visual Profiling System for Direct Volume Rendering

Buelow, Max von ; Ströter, Daniel ; Rak, Arne ; Fellner, Dieter W.
Hrsg.: Charalambous, P. (2024)
A Visual Profiling System for Direct Volume Rendering.
European Association for Computer Graphics (EG Conference) 2024. Limassol, Cyprus (22.04. - 26.04.2024)
doi: 10.24406/publica-3035
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Direct Volume Rendering (DVR) is a crucial technique that enables interactive exploration of results from scientific computing or computer graphics. Its applications range from virtual prototyping for product design to computer-aided diagnosis in medicine. Although there are many existing DVR optimizations, they do not provide a thorough analysis of memory-specific hardware behavior. This paper introduces a profiling toolkit that enables the extraction of performance metrics, such as cache hit rates and branching, from a compiled GPU-based DVR application. The metrics are visualized in the image domain to facilitate spatial visual analysis. This paper presents a pipeline that automatically extracts memory traces using binary instrumentation, simulates the GPU memory subsystem, and models DVR-specific functionality within it. The profiler is demonstrated using the Octree-Linear Bounding Volume Hierarchy (OLBVH), and the visualized profiling metrics are explained based on the OLBVH implementation. Our discussion demonstrates that optimizing ray traversal for adaptive sampling, cache usage, branching, and global memory access has the potential to improve performance.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2024
Herausgeber: Charalambous, P.
Autor(en): Buelow, Max von ; Ströter, Daniel ; Rak, Arne ; Fellner, Dieter W.
Art des Eintrags: Bibliographie
Titel: A Visual Profiling System for Direct Volume Rendering
Sprache: Englisch
Publikationsjahr: 2024
Ort: o.A.
Verlag: Eurographics Association
Buchtitel: EUROGRAPHICS 2024
Kollation: 4 Seiten
Veranstaltungstitel: European Association for Computer Graphics (EG Conference) 2024
Veranstaltungsort: Limassol, Cyprus
Veranstaltungsdatum: 22.04. - 26.04.2024
DOI: 10.24406/publica-3035
Kurzbeschreibung (Abstract):

Direct Volume Rendering (DVR) is a crucial technique that enables interactive exploration of results from scientific computing or computer graphics. Its applications range from virtual prototyping for product design to computer-aided diagnosis in medicine. Although there are many existing DVR optimizations, they do not provide a thorough analysis of memory-specific hardware behavior. This paper introduces a profiling toolkit that enables the extraction of performance metrics, such as cache hit rates and branching, from a compiled GPU-based DVR application. The metrics are visualized in the image domain to facilitate spatial visual analysis. This paper presents a pipeline that automatically extracts memory traces using binary instrumentation, simulates the GPU memory subsystem, and models DVR-specific functionality within it. The profiler is demonstrated using the Octree-Linear Bounding Volume Hierarchy (OLBVH), and the visualized profiling metrics are explained based on the OLBVH implementation. Our discussion demonstrates that optimizing ray traversal for adaptive sampling, cache usage, branching, and global memory access has the potential to improve performance.

Freie Schlagworte: 3D Rendering, Profiling systems, Visualization frameworks
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 17 Mai 2024 07:43
Letzte Änderung: 03 Jun 2024 11:50
PPN: 518784215
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